# Installing the libraries with the specified version.
!pip install pandas==1.5.3 numpy==1.25.2 matplotlib==3.7.1 seaborn==0.13.1 scikit-learn==1.2.2 statsmodels==0.14.1 -q --user

pip install --upgrade scikit-learn

Requirement already satisfied: scikit-learn in c:\users\otroc\appdata\roaming\python\python311\site-packages (1.2.2)
Collecting scikit-learn
  Using cached scikit_learn-1.5.0-cp311-cp311-win_amd64.whl.metadata (11 kB)
Requirement already satisfied: numpy>=1.19.5 in c:\users\otroc\appdata\roaming\python\python311\site-packages (from scikit-learn) (1.25.2)
Requirement already satisfied: scipy>=1.6.0 in c:\users\otroc\anaconda3\lib\site-packages (from scikit-learn) (1.11.4)
Requirement already satisfied: joblib>=1.2.0 in c:\users\otroc\anaconda3\lib\site-packages (from scikit-learn) (1.2.0)
Requirement already satisfied: threadpoolctl>=3.1.0 in c:\users\otroc\anaconda3\lib\site-packages (from scikit-learn) (3.5.0)
Using cached scikit_learn-1.5.0-cp311-cp311-win_amd64.whl (11.0 MB)
Installing collected packages: scikit-learn
  Attempting uninstall: scikit-learn
    Found existing installation: scikit-learn 1.2.2
    Uninstalling scikit-learn-1.2.2:
      Successfully uninstalled scikit-learn-1.2.2
Successfully installed scikit-learn-1.5.0
Note: you may need to restart the kernel to use updated packages.

# Common Libraries
import numpy as np # linear algebra
import pandas as pd # data manipulation and analysis
import scipy.stats as stats # mathematical algorithms and convenience functions
import statsmodels.stats.multicomp as stats_sm # statistical models, statistical tests, and statistical data exploration
import statsmodels.stats.proportion as stats_sp # statistical models, statistical tests, and statistical data exploration
import matplotlib.pyplot as plt # data visualization
import seaborn as sns # data visualization
import pylab # for QQ plots
from scipy.stats import zscore

# Command to tell Python to actually display the graphs
%matplotlib inline 
sns.set_style('whitegrid') # set style for visualization
import warnings # ignore warnings
warnings.filterwarnings('ignore')
pd.set_option('display.float_format', lambda x: '%.2f' % x) # To supress numerical display in scientific notations

# Removes the limit for the number of displayed columns
pd.set_option("display.max_columns", None)
# Sets the limit for the number of displayed rows
pd.set_option("display.max_rows", 200)

#To build linear regression_model
from sklearn.linear_model import LinearRegression
from statsmodels.tools.tools import add_constant
import statsmodels.api as sm
#For randomized data splitting
from sklearn.model_selection import train_test_split
#To check linear model performance
from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score
#To check multicollinearity
from statsmodels.stats.outliers_influence import variance_inflation_factor
#To check Heteroscedasticity
import statsmodels.stats.api as sms
from statsmodels.compat import lzip


#To build logostic regression_model
from sklearn.linear_model import LogisticRegression
#For randomized data splitting
from sklearn.model_selection import train_test_split
# To get diferent metric scores
from sklearn.metrics import (
    f1_score,
    accuracy_score,
    recall_score,
    precision_score,
    confusion_matrix,
    roc_auc_score,
    ConfusionMatrixDisplay,
    precision_recall_curve,
    roc_curve,
)

#To build CART model
from sklearn.tree import DecisionTreeClassifier #for classification
from sklearn.tree import DecisionTreeRegressor #for Regression
from sklearn import tree
#For randomized data splitting
from sklearn.model_selection import train_test_split
# To tune different models
from sklearn.model_selection import GridSearchCV
# To get diferent metric scores
from sklearn.metrics import (
    f1_score,
    accuracy_score,
    recall_score,
    precision_score,
    confusion_matrix,
    #plot_confusion_matrix,
    make_scorer,
)

path1='C:\\Users\\otroc\\OneDrive\\Documents\\Carlos\\Training\\DSBA\\Python\\Jupyter Notebooks\\Module4_Project\\INNHotelsGroup.csv'
data = pd.read_csv(path1)

print("There are", data.shape[0], 'rows and', data.shape[1], "columns.")

There are 36275 rows and 19 columns.

data.head()

data.tail()

data.info()

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 36275 entries, 0 to 36274
Data columns (total 19 columns):
 #   Column                                Non-Null Count  Dtype  
---  ------                                --------------  -----  
 0   Booking_ID                            36275 non-null  object 
 1   no_of_adults                          36275 non-null  int64  
 2   no_of_children                        36275 non-null  int64  
 3   no_of_weekend_nights                  36275 non-null  int64  
 4   no_of_week_nights                     36275 non-null  int64  
 5   type_of_meal_plan                     36275 non-null  object 
 6   required_car_parking_space            36275 non-null  int64  
 7   room_type_reserved                    36275 non-null  object 
 8   lead_time                             36275 non-null  int64  
 9   arrival_year                          36275 non-null  int64  
 10  arrival_month                         36275 non-null  int64  
 11  arrival_date                          36275 non-null  int64  
 12  market_segment_type                   36275 non-null  object 
 13  repeated_guest                        36275 non-null  int64  
 14  no_of_previous_cancellations          36275 non-null  int64  
 15  no_of_previous_bookings_not_canceled  36275 non-null  int64  
 16  avg_price_per_room                    36275 non-null  float64
 17  no_of_special_requests                36275 non-null  int64  
 18  booking_status                        36275 non-null  object 
dtypes: float64(1), int64(13), object(5)
memory usage: 5.3+ MB

# Checking for missing values in the data
data.isnull().sum()

Booking_ID                              0
no_of_adults                            0
no_of_children                          0
no_of_weekend_nights                    0
no_of_week_nights                       0
type_of_meal_plan                       0
required_car_parking_space              0
room_type_reserved                      0
lead_time                               0
arrival_year                            0
arrival_month                           0
arrival_date                            0
market_segment_type                     0
repeated_guest                          0
no_of_previous_cancellations            0
no_of_previous_bookings_not_canceled    0
avg_price_per_room                      0
no_of_special_requests                  0
booking_status                          0
dtype: int64

# Checking for duplicate entries in the data
data.duplicated().sum()

0

# Making a list of all categorical variables
cat_cols = data.select_dtypes(include=['object', 'category']).columns.tolist()

for column in cat_cols:
    print(data[column].value_counts())
    print("-" * 50)
    num_cols = data.select_dtypes(include=np.number).columns.tolist()

INN00001    1
INN24187    1
INN24181    1
INN24182    1
INN24183    1
           ..
INN12086    1
INN12085    1
INN12084    1
INN12083    1
INN36275    1
Name: Booking_ID, Length: 36275, dtype: int64
--------------------------------------------------
Meal Plan 1     27835
Not Selected     5130
Meal Plan 2      3305
Meal Plan 3         5
Name: type_of_meal_plan, dtype: int64
--------------------------------------------------
Room_Type 1    28130
Room_Type 4     6057
Room_Type 6      966
Room_Type 2      692
Room_Type 5      265
Room_Type 7      158
Room_Type 3        7
Name: room_type_reserved, dtype: int64
--------------------------------------------------
Online           23214
Offline          10528
Corporate         2017
Complementary      391
Aviation           125
Name: market_segment_type, dtype: int64
--------------------------------------------------
Not_Canceled    24390
Canceled        11885
Name: booking_status, dtype: int64
--------------------------------------------------

for column in cat_cols:
    print(data[column].value_counts(normalize=True))
    print("-" * 50)
    num_cols = data.select_dtypes(include=np.number).columns.tolist()

INN00001   0.00
INN24187   0.00
INN24181   0.00
INN24182   0.00
INN24183   0.00
           ... 
INN12086   0.00
INN12085   0.00
INN12084   0.00
INN12083   0.00
INN36275   0.00
Name: Booking_ID, Length: 36275, dtype: float64
--------------------------------------------------
Meal Plan 1    0.77
Not Selected   0.14
Meal Plan 2    0.09
Meal Plan 3    0.00
Name: type_of_meal_plan, dtype: float64
--------------------------------------------------
Room_Type 1   0.78
Room_Type 4   0.17
Room_Type 6   0.03
Room_Type 2   0.02
Room_Type 5   0.01
Room_Type 7   0.00
Room_Type 3   0.00
Name: room_type_reserved, dtype: float64
--------------------------------------------------
Online          0.64
Offline         0.29
Corporate       0.06
Complementary   0.01
Aviation        0.00
Name: market_segment_type, dtype: float64
--------------------------------------------------
Not_Canceled   0.67
Canceled       0.33
Name: booking_status, dtype: float64
--------------------------------------------------

data.describe(include="all").T

data.duplicated().sum()

0

# Dropping "Booking_ID" 
data = data.drop(["Booking_ID"], axis=1)

data.duplicated().sum()

10275

#checking data after droping variable
data.head()

data.duplicated().sum()

10275

# Select numerical columns
numerical_cols = data.select_dtypes(include=[np.number]).columns

# Determine the number of rows and columns
num_vars = len(numerical_cols)
num_cols = 4
num_rows = int(np.ceil(num_vars * 2 / num_cols))

# Create a figure with the specified size
fig, axes = plt.subplots(num_rows, num_cols, figsize=(5*num_cols, num_rows * 5))

# Flatten the axes array for easy iteration
axes = axes.flatten()

# Plot each variable with a histplot and a boxplot
for i, col in enumerate(numerical_cols):
    mean_value = data[col].mean()
    
    # Histplot with KDE
    sns.histplot(data[col], kde=True, ax=axes[i*2])
    axes[i*2].axvline(mean_value, color='r', linestyle='--')
    axes[i*2].set_title(f'Distribution of {col}')
    axes[i*2].text(mean_value, axes[i*2].get_ylim()[1]*0.8, f'Mean: {mean_value:.2f}', color='r', va='baseline', ha='left',rotation=90)
    
    # Boxplot
    sns.boxplot(y=data[col], ax=axes[i*2 + 1])
    axes[i*2 + 1].axhline(mean_value, color='r', linestyle='--')
    axes[i*2 + 1].set_title(f'Boxplot of {col}')
    axes[i*2 + 1].text(axes[i*2 + 1].get_xlim()[1]*0.8, mean_value, f'mean: {mean_value:.2f}', color='r', va='baseline', ha='right')

# Hide any remaining empty subplots
for j in range(num_vars * 2, len(axes)):
    fig.delaxes(axes[j])

# Adjust layout
plt.tight_layout()
plt.show()

# List of categorical columns
categorical_columns = data.select_dtypes(include=['object', 'category']).columns.tolist()

# Number of columns in the grid
num_cols = 4

# Calculate the number of rows needed
num_rows = (len(categorical_columns) + num_cols - 1) // num_cols

# Create the grid
fig, axes = plt.subplots(num_rows, num_cols, figsize=(5*num_cols, num_rows * 5), constrained_layout=True)
axes = axes.flatten()

# Plot each countplot in the grid
for i, col in enumerate(categorical_columns):
    ax = axes[i]
    plot = sns.countplot(x=col, data=data, order=data[col].value_counts().index, ax=ax)
    ax.set_title(f'Count of {col}')
       
    # Add total count and percentage annotations
    total = len(data)
    for p in plot.patches:
        height = p.get_height()
        percentage = f'{(height / total * 100):.1f}%'
        plot.text(x=p.get_x() + p.get_width() / 2,
                  y=height + 2,
                  s=f'{height:.0f}\n({percentage})',
                  ha='center')
    
    # Limit x-axis labels to avoid overlap
    ax.set_xticklabels(ax.get_xticklabels(), rotation=45, ha='right')

# Remove any empty subplots
for j in range(i + 1, len(axes)):
    fig.delaxes(axes[j])

# Show the plot
plt.show()

data.duplicated().sum()

10275

# Calculate correlation matrix
corr_matrix = data.corr()

# Plot correlation matrix as heatmap
plt.figure(figsize=(10, 8))
sns.heatmap(corr_matrix, annot=True, cmap='coolwarm', vmin=-1, vmax=1)
plt.title('Correlation Matrix Heatmap')
plt.show()

corr_unstacked = corr_matrix.unstack() # Unstack the correlation matrix
corr_unstacked = corr_unstacked.reset_index() # Reset the index to get 'variable1' and 'variable2' as columns
corr_unstacked.columns = ['variable1', 'variable2', 'correlation']# Rename the columns for better understanding
corr_unstacked = corr_unstacked[corr_unstacked['variable1'] != corr_unstacked['variable2']] # Remove self-correlations by filtering out rows where variable1 == variable2
corr_unstacked = corr_unstacked.drop_duplicates(subset=['correlation']) # Drop duplicates to keep only one entry per variable pair
sorted_corr = corr_unstacked.sort_values(by='correlation', ascending=False) # Sort the DataFrame by the absolute value of correlation
sorted_corr # Display the sorted correlation table

# Create a PairGrid
g = sns.PairGrid(data, hue="booking_status", corner=True)

# Map different plots to the grid
g.map_lower(sns.scatterplot)
g.map_diag(sns.histplot,kde=True)

# Show the plot
plt.show()

# Create a visualization
sns.relplot(
    data=data,
    x="lead_time", y="avg_price_per_room",hue="booking_status",col=data['no_of_adults']+data['no_of_children'])

<seaborn.axisgrid.FacetGrid at 0x2636b859990>

group_cancelations= pd.DataFrame(columns=['Group_Size','Not_Canceled', 'Canceled']) #grup being the sum of 'no_of_adults' and 'no_of_children'
for i in range(max(data['no_of_adults']+data['no_of_children'])+1):
    group_cancelations=group_cancelations.append({
        'Group_Size':i,
        'Not_Canceled':data[(data['no_of_adults']+data['no_of_children']==i)&(data['booking_status']=="Not_Canceled")]['booking_status'].value_counts().get('Not_Canceled', 0),
        'Canceled': data[(data['no_of_adults']+data['no_of_children']==i)&(data['booking_status']=="Canceled")]['booking_status'].value_counts().get('Canceled', 0)
    }, ignore_index=True)

group_cancelations

data[(data['no_of_adults']+data['no_of_children']<5)].groupby(['no_of_adults','no_of_children'])['booking_status'].value_counts()

no_of_adults  no_of_children  booking_status
0             1               Not_Canceled          1
              2               Not_Canceled         89
                              Canceled             44
              3               Not_Canceled          5
1             0               Not_Canceled       5742
                              Canceled           1809
              1               Not_Canceled         67
                              Canceled             23
              2               Not_Canceled         29
                              Canceled             24
2             0               Not_Canceled      15506
                              Canceled           8213
              1               Not_Canceled        991
                              Canceled            511
              2               Not_Canceled        482
                              Canceled            389
3             0               Not_Canceled       1434
                              Canceled            857
              1               Not_Canceled         19
                              Canceled              6
4             0               Not_Canceled         13
                              Canceled              3
Name: booking_status, dtype: int64

def plot_crosstab_grid(df, var_interest):
    # Extract categorical columns excluding the variable of interest
    cat_cols = data.select_dtypes(include=['category', 'object']).columns.tolist()
    cat_cols.remove(var_interest)
    
    # Determine the grid size
    num_vars = len(cat_cols)
    num_cols = 3  # Number of columns in the grid
    num_rows = (num_vars // num_cols) + int(num_vars % num_cols > 0)

    # Create a grid of subplots
    fig, axes = plt.subplots(num_rows, num_cols, figsize=(5*num_cols, num_rows * 5), constrained_layout=True)
    axes = axes.flatten()  # Flatten the axes array for easy iteration

    for i, col in enumerate(cat_cols):
        # Create a crosstab
        crosstab = pd.crosstab(df[col], df[var_interest])
        
        # Plot the crosstab as a bar plot
        crosstab.plot(kind='bar', stacked=True, ax=axes[i])
    
    # Hide any remaining empty subplots
    for j in range(i + 1, len(axes)):
        fig.delaxes(axes[j])

    plt.tight_layout()
    plt.show()

plot_crosstab_grid(data, var_interest='booking_status')

def plot_crosstab_grid(df, var_interest):
    # Extract categorical columns excluding the variable of interest
    cat_cols = data.select_dtypes(include=['category', 'object']).columns.tolist()
    #cat_cols.remove(var_interest)
    
    # Determine the grid size
    num_vars = len(cat_cols)
    num_cols = 3  # Number of columns in the grid
    num_rows = (num_vars // num_cols) + int(num_vars % num_cols > 0)
  
    # Create a grid of subplots
    fig, axes = plt.subplots(num_rows, num_cols, figsize=(5*num_cols, num_rows * 5), constrained_layout=True)
    axes = axes.flatten()  # Flatten the axes array for easy iteration

    for i, col in enumerate(cat_cols):
        # Create a crosstab
        crosstab = pd.crosstab(df[col], df[var_interest])
        
        # Plot the crosstab as a bar plot
        crosstab.plot(kind='bar', stacked=True, ax=axes[i])
    
    # Hide any remaining empty subplots
    for j in range(i + 1, len(axes)):
        fig.delaxes(axes[j])

    plt.tight_layout()
    plt.show()

plot_crosstab_grid(data, var_interest='no_of_adults')

# Initialize the FacetGrid
g = sns.FacetGrid(data, col="market_segment_type", row="booking_status", margin_titles=True)

# Map plots to the grid
g.map(sns.histplot, "avg_price_per_room")

# Customize the plot
g.set_axis_labels('Price per room (EUR)', 'Count')
g.set_titles(col_template="{col_name} booking", row_template="{row_name}")

# Show the plot
plt.show()

# Initialize the FacetGrid
g = sns.FacetGrid(data, col="market_segment_type", row="booking_status", margin_titles=True)

# Step 2: Map plots to the grid
g.map(sns.boxplot, "avg_price_per_room")

# Customize the plot
g.set_axis_labels('Price per room (EUR)', 'Count')
g.set_titles(col_template="{col_name} booking", row_template="{row_name}")

# Show the plot
plt.show()

data.groupby("market_segment_type")["avg_price_per_room"].mean()

market_segment_type
Aviation        100.70
Complementary     3.14
Corporate        82.91
Offline          91.63
Online          112.26
Name: avg_price_per_room, dtype: float64

data.groupby("market_segment_type")["booking_status"].value_counts(normalize=True)

market_segment_type  booking_status
Aviation             Not_Canceled     0.70
                     Canceled         0.30
Complementary        Not_Canceled     1.00
Corporate            Not_Canceled     0.89
                     Canceled         0.11
Offline              Not_Canceled     0.70
                     Canceled         0.30
Online               Not_Canceled     0.63
                     Canceled         0.37
Name: booking_status, dtype: float64

# Select numerical columns
numerical_cols = data.select_dtypes(include=[np.number]).columns

# Determine the number of rows and columns
num_vars = len(numerical_cols)
num_cols = 4
num_rows = int(np.ceil(num_vars * 4 / num_cols))

# Create a figure with the specified size
fig, axes = plt.subplots(num_rows, num_cols, figsize=(5*num_cols, num_rows * 5))

# Flatten the axes array for easy iteration
axes = axes.flatten()

# Plot each variable with a histplot and a boxplot
for i, col in enumerate(numerical_cols):
    mean_value_NC = data[data["booking_status"] == "Not_Canceled"][col].mean()
    mean_value_C = data[data["booking_status"] == "Canceled"][col].mean()
    
    # Histplot with KDE Not_Cancelled
    sns.histplot(data=data[data["booking_status"] == "Not_Canceled"], x=col, kde=True, ax=axes[i*4])
    axes[i*4].axvline(mean_value_NC, color='r', linestyle='--')
    axes[i*4].set_title(f'Distribution of {col} Not Canceled')
    axes[i*4].text(mean_value_NC, axes[i*4].get_ylim()[1]*0.8, f'Mean: {mean_value_NC:.2f}', color='r', va='baseline', ha='left', rotation=90)
    
    # Boxplot Not_Cancelled
    sns.boxplot(y=data[data["booking_status"] == "Not_Canceled"][col], ax=axes[i*4 + 1])
    axes[i*4 + 1].axhline(mean_value_NC, color='r', linestyle='--')
    axes[i*4 + 1].set_title(f'Boxplot of {col} Not Canceled')
    axes[i*4 + 1].text(axes[i*4 + 1].get_xlim()[1]*0.8, mean_value_NC, f'Mean: {mean_value_NC:.2f}', color='r', va='baseline', ha='right')

    # Histplot with KDE Cancelled
    sns.histplot(data=data[data["booking_status"] == "Canceled"], x=col, kde=True, ax=axes[i*4 + 2])
    axes[i*4 + 2].axvline(mean_value_C, color='r', linestyle='--')
    axes[i*4 + 2].set_title(f'Distribution of {col} Canceled')
    axes[i*4 + 2].text(mean_value_C, axes[i*4 + 2].get_ylim()[1]*0.8, f'Mean: {mean_value_C:.2f}', color='r', va='baseline', ha='left', rotation=90)
    
    # Boxplot Cancelled
    sns.boxplot(y=data[data["booking_status"] == "Canceled"][col], ax=axes[i*4 + 3])
    axes[i*4 + 3].axhline(mean_value_C, color='r', linestyle='--')
    axes[i*4 + 3].set_title(f'Boxplot of {col} Canceled')
    axes[i*4 + 3].text(axes[i*4 + 3].get_xlim()[1]*0.8, mean_value_C, f'Mean: {mean_value_C:.2f}', color='r', va='baseline', ha='right')

# Hide any remaining empty subplots
for j in range(num_vars * 4, len(axes)):
    fig.delaxes(axes[j])

# Adjust layout
plt.tight_layout()
plt.show()

# Initialize the FacetGrid
g = sns.FacetGrid(data, col="arrival_month", row="booking_status", margin_titles=True)

# Map plots to the grid
g.map(sns.histplot, "avg_price_per_room")

# Customize the plot
g.set_axis_labels('Price per room (EUR)', 'Count')
g.set_titles(col_template="Month {col_name}", row_template="{row_name}")

# Show the plot
plt.show()

sns.relplot(
    data=data, kind="line",
    x="arrival_month", y="avg_price_per_room", col="booking_status",
    hue="no_of_adults", size="no_of_adults", style="no_of_adults",
    ci=None,
    facet_kws=dict(sharex=False),
)

<seaborn.axisgrid.FacetGrid at 0x26354ccd010>

sns.relplot(
    data=data, kind="line",
    x="arrival_month", y="avg_price_per_room", col="booking_status",
    hue="no_of_children", size="no_of_children", style="no_of_children",
    ci=None,
    facet_kws=dict(sharex=False),
)

<seaborn.axisgrid.FacetGrid at 0x2637251cfd0>

data[(data["repeated_guest"]==1)]["booking_status"].value_counts(normalize=True)

Not_Canceled   0.98
Canceled       0.02
Name: booking_status, dtype: float64

data.columns

Index(['no_of_adults', 'no_of_children', 'no_of_weekend_nights',
       'no_of_week_nights', 'type_of_meal_plan', 'required_car_parking_space',
       'room_type_reserved', 'lead_time', 'arrival_year', 'arrival_month',
       'arrival_date', 'market_segment_type', 'repeated_guest',
       'no_of_previous_cancellations', 'no_of_previous_bookings_not_canceled',
       'avg_price_per_room', 'no_of_special_requests', 'booking_status'],
      dtype='object')

f, axs = plt.subplots(1, 3, figsize=(15, 5),gridspec_kw=dict(width_ratios=[1,1,1]))
sns.boxplot(data, x='booking_status',y='avg_price_per_room', hue='no_of_adults',ax=axs[0]);
sns.boxplot(data, x='booking_status',y='avg_price_per_room', hue='market_segment_type',ax=axs[1]);
sns.boxplot(data, x='booking_status',y='avg_price_per_room', hue='no_of_special_requests',ax=axs[2]);
f.tight_layout()

f, axs = plt.subplots(1, 3, figsize=(15, 5),gridspec_kw=dict(width_ratios=[1,1,1]))
sns.boxplot(data, x='booking_status',y='avg_price_per_room', hue='no_of_weekend_nights',ax=axs[0]);
sns.boxplot(data, x='booking_status',y='avg_price_per_room', hue='no_of_week_nights',ax=axs[1]);
sns.boxplot(data, x='booking_status',y='avg_price_per_room', hue='repeated_guest',ax=axs[2]);
f.tight_layout()

# List of categorical columns
categorical_columns = data.select_dtypes(include=['object', 'category']).columns.tolist()
data[categorical_columns].columns

# Checking if all levels of the categories are appropriately defined
for i in categorical_columns:
    print (i,": ",data[i].unique())

type_of_meal_plan :  ['Meal Plan 1' 'Not Selected' 'Meal Plan 2' 'Meal Plan 3']
room_type_reserved :  ['Room_Type 1' 'Room_Type 4' 'Room_Type 2' 'Room_Type 6' 'Room_Type 5'
 'Room_Type 7' 'Room_Type 3']
market_segment_type :  ['Offline' 'Online' 'Corporate' 'Aviation' 'Complementary']
booking_status :  ['Not_Canceled' 'Canceled']

data.duplicated().sum()

10275

data.columns

Index(['no_of_adults', 'no_of_children', 'no_of_weekend_nights',
       'no_of_week_nights', 'type_of_meal_plan', 'required_car_parking_space',
       'room_type_reserved', 'lead_time', 'arrival_year', 'arrival_month',
       'arrival_date', 'market_segment_type', 'repeated_guest',
       'no_of_previous_cancellations', 'no_of_previous_bookings_not_canceled',
       'avg_price_per_room', 'no_of_special_requests', 'booking_status'],
      dtype='object')

df=data.copy() #creating a copy of the "data" dataframe
df['total_guest']= df['no_of_adults'] + df['no_of_children'] #creating new variable total_guest

df['total_nights'] = df['no_of_weekend_nights'] + df['no_of_week_nights'] #creating new variable total_nights

# encoding type_of_meal_plan
df['type_of_meal_plan'] = df['type_of_meal_plan'].map({'Meal Plan 1':1, 'Not Selected':0, 'Meal Plan 2':2, 'Meal Plan 3':3})

# encoding room_type_reserved
df['room_type_reserved']=df['room_type_reserved'].map({'Room_Type 1':1, 'Room_Type 4':4, 'Room_Type 2':2, 'Room_Type 6':6, 'Room_Type 5':5,
 'Room_Type 7':7, 'Room_Type 3':3})

# encoding booking_status
df['booking_status']=df['booking_status'].map({'Not_Canceled':0, 'Canceled':1})

# function to check for outliers
def count_outliers(df):
    outlier_count=0
    for column in df.select_dtypes(include=np.number).columns:
        outliers=len(df[(df[column] < df[column].quantile(0.25)-1.5*(df[column].quantile(0.75)-df[column].quantile(0.25))) | (df[column] > df[column].quantile(0.75)+1.5*(df[column].quantile(0.75)-df[column].quantile(0.25)))][column])
        print(f'{column}: {outliers} outliers ({outliers/df.shape[0]*100:.2f}%)')
        outlier_count+= outliers
    return outlier_count

count_outliers(df)

no_of_adults: 10167 outliers (28.03%)
no_of_children: 2698 outliers (7.44%)
no_of_weekend_nights: 21 outliers (0.06%)
no_of_week_nights: 324 outliers (0.89%)
type_of_meal_plan: 8440 outliers (23.27%)
required_car_parking_space: 1124 outliers (3.10%)
room_type_reserved: 8145 outliers (22.45%)
lead_time: 1331 outliers (3.67%)
arrival_year: 6514 outliers (17.96%)
arrival_month: 0 outliers (0.00%)
arrival_date: 0 outliers (0.00%)
repeated_guest: 930 outliers (2.56%)
no_of_previous_cancellations: 338 outliers (0.93%)
no_of_previous_bookings_not_canceled: 812 outliers (2.24%)
avg_price_per_room: 1696 outliers (4.68%)
no_of_special_requests: 761 outliers (2.10%)
booking_status: 0 outliers (0.00%)
total_guest: 12333 outliers (34.00%)
total_nights: 583 outliers (1.61%)

56217

df.shape

(36275, 20)

df2=df[(np.abs(df.select_dtypes(include=np.number).apply(zscore))<3).all(axis=1)]
df2.shape

(31648, 20)

count_outliers(df2)

no_of_adults: 8534 outliers (26.97%)
no_of_children: 1342 outliers (4.24%)
no_of_weekend_nights: 0 outliers (0.00%)
no_of_week_nights: 0 outliers (0.00%)
type_of_meal_plan: 7635 outliers (24.12%)
required_car_parking_space: 0 outliers (0.00%)
room_type_reserved: 6085 outliers (19.23%)
lead_time: 866 outliers (2.74%)
arrival_year: 5795 outliers (18.31%)
arrival_month: 0 outliers (0.00%)
arrival_date: 0 outliers (0.00%)
repeated_guest: 0 outliers (0.00%)
no_of_previous_cancellations: 0 outliers (0.00%)
no_of_previous_bookings_not_canceled: 0 outliers (0.00%)
avg_price_per_room: 802 outliers (2.53%)
no_of_special_requests: 0 outliers (0.00%)
booking_status: 0 outliers (0.00%)
total_guest: 9710 outliers (30.68%)
total_nights: 162 outliers (0.51%)

40931

#Clip outliers
df3=df2.copy()
for column in df3.select_dtypes(include=np.number).columns:
    df3[column]=np.clip(df3[column], df3[column].quantile(0.25)-1.5*(df3[column].quantile(0.75)-df3[column].quantile(0.25)), df3[column].quantile(0.75)+1.5*(df2[column].quantile(0.75)-df2[column].quantile(0.25)))

count_outliers(df3)

no_of_adults: 0 outliers (0.00%)
no_of_children: 0 outliers (0.00%)
no_of_weekend_nights: 0 outliers (0.00%)
no_of_week_nights: 0 outliers (0.00%)
type_of_meal_plan: 0 outliers (0.00%)
required_car_parking_space: 0 outliers (0.00%)
room_type_reserved: 0 outliers (0.00%)
lead_time: 0 outliers (0.00%)
arrival_year: 0 outliers (0.00%)
arrival_month: 0 outliers (0.00%)
arrival_date: 0 outliers (0.00%)
repeated_guest: 0 outliers (0.00%)
no_of_previous_cancellations: 0 outliers (0.00%)
no_of_previous_bookings_not_canceled: 0 outliers (0.00%)
avg_price_per_room: 0 outliers (0.00%)
no_of_special_requests: 0 outliers (0.00%)
booking_status: 0 outliers (0.00%)
total_guest: 0 outliers (0.00%)
total_nights: 0 outliers (0.00%)

0

# List of categorical columns
categorical_columns = df3.select_dtypes(include=['object', 'category']).columns.tolist()
data[categorical_columns].columns

# Checking if all levels of the categories are appropriately defined
for i in categorical_columns:
    print (i,": ",df3[i].unique())

market_segment_type :  ['Offline' 'Online' 'Corporate' 'Aviation' 'Complementary']

#creating dumies
df4 = pd.get_dummies(df3, columns=['market_segment_type'], drop_first=True)
df4.shape

(31648, 23)

print("There are", df4.shape[0], 'rows and', df4.shape[1], "columns.")

There are 31648 rows and 23 columns.

df4

df4.info()

<class 'pandas.core.frame.DataFrame'>
Int64Index: 31648 entries, 0 to 36274
Data columns (total 23 columns):
 #   Column                                Non-Null Count  Dtype  
---  ------                                --------------  -----  
 0   no_of_adults                          31648 non-null  int64  
 1   no_of_children                        31648 non-null  int64  
 2   no_of_weekend_nights                  31648 non-null  int64  
 3   no_of_week_nights                     31648 non-null  int64  
 4   type_of_meal_plan                     31648 non-null  int64  
 5   required_car_parking_space            31648 non-null  int64  
 6   room_type_reserved                    31648 non-null  int64  
 7   lead_time                             31648 non-null  float64
 8   arrival_year                          31648 non-null  int64  
 9   arrival_month                         31648 non-null  int64  
 10  arrival_date                          31648 non-null  int64  
 11  repeated_guest                        31648 non-null  int64  
 12  no_of_previous_cancellations          31648 non-null  int64  
 13  no_of_previous_bookings_not_canceled  31648 non-null  int64  
 14  avg_price_per_room                    31648 non-null  float64
 15  no_of_special_requests                31648 non-null  int64  
 16  booking_status                        31648 non-null  int64  
 17  total_guest                           31648 non-null  int64  
 18  total_nights                          31648 non-null  int64  
 19  market_segment_type_Complementary     31648 non-null  uint8  
 20  market_segment_type_Corporate         31648 non-null  uint8  
 21  market_segment_type_Offline           31648 non-null  uint8  
 22  market_segment_type_Online            31648 non-null  uint8  
dtypes: float64(2), int64(17), uint8(4)
memory usage: 6.0 MB

# Checking uniques
for i in df4.columns:
    print (i,": ",df4[i].unique())

no_of_adults :  [2]
no_of_children :  [0]
no_of_weekend_nights :  [1 2 0 3]
no_of_week_nights :  [2 3 1 4 0 5 6]
type_of_meal_plan :  [1]
required_car_parking_space :  [0]
room_type_reserved :  [1]
lead_time :  [224.    5.    1.  211.   48.   34.   83.  121.    0.   35.   30.   95.
  47.  256.   99.   12.  122.    2.   37.  130.   60.   56.    3.  107.
  72.  289.  247.  186.   64.   96.   41.   55.  146.   32.   57.    7.
 124.  169.    6.   51.   13.  100.  139.  117.   39.   86.   19.  192.
 179.   26.   74.  143.  177.   18.  267.  155.   46.  128.   20.   40.
 196.  188.  110.   73.   92.  171.  291.5 118.  189.   16.   24.    8.
 182.  286.   68.  148.   14.   85.   25.   28.   80.   11.  162.   82.
  27.  245.  266.  112.   88.   69.  273.   97.   44.   31.   62.  197.
  23.  280.  185.  160.  104.   22.  109.  126.   81.   54.   15.  161.
  87.  127.  156.   58.  111.   17.    4.  195.  119.   59.   78.  103.
  70.   76.   49.   77.   36.   79.   21.   33.  164.  152.   43.  102.
  71.  209.   93.   53.  239.   45.  167.  113.  166.  174.   10.   61.
 151.   52.   84.   67.  282.   38.  175.   89.  133.   65.   66.   50.
 159.  115.  125.   91.    9.   29.  221.  213.  198.   75.  180.  236.
 120.  230.   63.  136.  147.  157.  268.   94.   98.   42.  154.  137.
 232.  114.  257.  105.  265.  191.  101.  259.  116.  149.  170.  271.
 207.  108.  210.  194.  145.  153.  275.  158.  200.  184.  181.  263.
 176.  141.  270.  150.  134.  244.  217.  219.  142.  276.  237.  163.
 290.  216.  226.  258.  254.  193.  131.  208.  190.  231.  248.  106.
 222.  140.  173.  172.   90.  249.  205.  129.  212.  178.  135.  220.
 277.  253.  168.  132.  183.  255.  223.  288.  144.  229.  199.  138.
 203.  246.  235.  281.  202.  287.  291.  269.  261.  214.  274.  250.
 228.  240.  241.  227.  123.  225.  233.  279.  283.  204.  165.  251.
 285.  215.  278.  243.  201.  238.  272.  242.  187.  284.  260.  262.
 252.  218.  234.  206.  264. ]
arrival_year :  [2018]
arrival_month :  [10 11  2  5  4 12  7  9  6  8  3  1]
arrival_date :  [ 2  6 28 20 11 15 26 30  5 10  4 25 13 22 21 19 17  9  7  1 27 18 29 16
  3 24 14 31 23  8 12]
repeated_guest :  [0]
no_of_previous_cancellations :  [0]
no_of_previous_bookings_not_canceled :  [0]
avg_price_per_room :  [ 65.   106.68  60.   ... 118.43  85.96 167.8 ]
no_of_special_requests :  [0 1 2]
booking_status :  [0 1]
total_guest :  [2]
total_nights :  [3 5 2 4 1 6 7 0]
market_segment_type_Complementary :  [0 1]
market_segment_type_Corporate :  [0 1]
market_segment_type_Offline :  [1 0]
market_segment_type_Online :  [0 1]

# droping columns with a single unique value
single_value=[col for col in df4.columns if df4[col].nunique() == 1]
df4[single_value].nunique()

no_of_adults                            1
no_of_children                          1
type_of_meal_plan                       1
required_car_parking_space              1
room_type_reserved                      1
arrival_year                            1
repeated_guest                          1
no_of_previous_cancellations            1
no_of_previous_bookings_not_canceled    1
total_guest                             1
dtype: int64

df5=df4.drop(columns=single_value)
df5.nunique()

no_of_weekend_nights                    4
no_of_week_nights                       7
lead_time                             293
arrival_month                          12
arrival_date                           31
avg_price_per_room                   3087
no_of_special_requests                  3
booking_status                          2
total_nights                            8
market_segment_type_Complementary       2
market_segment_type_Corporate           2
market_segment_type_Offline             2
market_segment_type_Online              2
dtype: int64

print("There are", df5.shape[0], 'rows and', df5.shape[1], "columns.")

There are 31648 rows and 13 columns.

df5

df5.info()

<class 'pandas.core.frame.DataFrame'>
Int64Index: 31648 entries, 0 to 36274
Data columns (total 13 columns):
 #   Column                             Non-Null Count  Dtype  
---  ------                             --------------  -----  
 0   no_of_weekend_nights               31648 non-null  int64  
 1   no_of_week_nights                  31648 non-null  int64  
 2   lead_time                          31648 non-null  float64
 3   arrival_month                      31648 non-null  int64  
 4   arrival_date                       31648 non-null  int64  
 5   avg_price_per_room                 31648 non-null  float64
 6   no_of_special_requests             31648 non-null  int64  
 7   booking_status                     31648 non-null  int64  
 8   total_nights                       31648 non-null  int64  
 9   market_segment_type_Complementary  31648 non-null  uint8  
 10  market_segment_type_Corporate      31648 non-null  uint8  
 11  market_segment_type_Offline        31648 non-null  uint8  
 12  market_segment_type_Online         31648 non-null  uint8  
dtypes: float64(2), int64(7), uint8(4)
memory usage: 3.5 MB

df5.describe(include='all').T

df5.isnull().sum() # Checking for missing values in the data

no_of_weekend_nights                 0
no_of_week_nights                    0
lead_time                            0
arrival_month                        0
arrival_date                         0
avg_price_per_room                   0
no_of_special_requests               0
booking_status                       0
total_nights                         0
market_segment_type_Complementary    0
market_segment_type_Corporate        0
market_segment_type_Offline          0
market_segment_type_Online           0
dtype: int64

df5.duplicated().sum()

9892

# specifying the independent  and dependent variables
X = df5.drop(["booking_status"], axis=1)
Y = df5["booking_status"]

# adding a constant to the independent variables
X = sm.add_constant(X)

# splitting data in train and test sets
X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.30, random_state=1)

# Checking training and test sets.
print("Shape of Training set : ", X_train.shape)
print("Shape of test set : ", X_test.shape)
print("Percentage of classes in training set:")
print(y_train.value_counts(normalize=True))
print("Percentage of classes in test set:")
print(y_test.value_counts(normalize=True))

Shape of Training set :  (22153, 13)
Shape of test set :  (9495, 13)
Percentage of classes in training set:
0   0.66
1   0.34
Name: booking_status, dtype: float64
Percentage of classes in test set:
0   0.66
1   0.34
Name: booking_status, dtype: float64

vif_series = pd.Series(
    [variance_inflation_factor(X_train.values, i) for i in range(X_train.shape[1])],
    index=X_train.columns,
    dtype=float,
)
print("Series before feature selection: \n\n{}\n".format(vif_series))

Series before feature selection: 

const                               356.94
no_of_weekend_nights                144.85
no_of_week_nights                   317.56
lead_time                             1.15
arrival_month                         1.04
arrival_date                          1.00
avg_price_per_room                    1.18
no_of_special_requests                1.23
total_nights                        474.05
market_segment_type_Complementary     3.26
market_segment_type_Corporate        14.55
market_segment_type_Offline          72.97
market_segment_type_Online           78.16
dtype: float64

df6=df5.drop(["total_nights"], axis=1)
df6.shape

(31648, 12)

# specifying the independent  and dependent variables
X = df6.drop(["booking_status"], axis=1)
Y = df6["booking_status"]

# adding a constant to the independent variables
X = sm.add_constant(X)

# splitting data in train and test sets
X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.30, random_state=1)

# Checking training and test sets.
print("Shape of Training set : ", X_train.shape)
print("Shape of test set : ", X_test.shape)
print("Percentage of classes in training set:")
print(y_train.value_counts(normalize=True))
print("Percentage of classes in test set:")
print(y_test.value_counts(normalize=True))

Shape of Training set :  (22153, 12)
Shape of test set :  (9495, 12)
Percentage of classes in training set:
0   0.66
1   0.34
Name: booking_status, dtype: float64
Percentage of classes in test set:
0   0.66
1   0.34
Name: booking_status, dtype: float64

vif_series = pd.Series(
    [variance_inflation_factor(X_train.values, i) for i in range(X_train.shape[1])],
    index=X_train.columns,
    dtype=float,
)
print("Series before feature selection: \n\n{}\n".format(vif_series))

Series before feature selection: 

const                               356.92
no_of_weekend_nights                  1.03
no_of_week_nights                     1.05
lead_time                             1.15
arrival_month                         1.04
arrival_date                          1.00
avg_price_per_room                    1.18
no_of_special_requests                1.22
market_segment_type_Complementary     3.26
market_segment_type_Corporate        14.55
market_segment_type_Offline          72.95
market_segment_type_Online           78.15
dtype: float64

# Initialize and fit the model
model0 = sm.Logit(y_train, X_train)
results0 = model0.fit()
print(results0.summary())

Warning: Maximum number of iterations has been exceeded.
         Current function value: 0.447312
         Iterations: 35
                           Logit Regression Results                           
==============================================================================
Dep. Variable:         booking_status   No. Observations:                22153
Model:                          Logit   Df Residuals:                    22141
Method:                           MLE   Df Model:                           11
Date:                Fri, 28 Jun 2024   Pseudo R-squ.:                  0.2988
Time:                        13:22:49   Log-Likelihood:                -9909.3
converged:                      False   LL-Null:                       -14131.
Covariance Type:            nonrobust   LLR p-value:                     0.000
=====================================================================================================
                                        coef    std err          z      P>|z|      [0.025      0.975]
-----------------------------------------------------------------------------------------------------
const                                -2.6118      0.297     -8.808      0.000      -3.193      -2.031
no_of_weekend_nights                  0.0955      0.022      4.416      0.000       0.053       0.138
no_of_week_nights                    -0.0526      0.015     -3.564      0.000      -0.082      -0.024
lead_time                             0.0165      0.000     60.667      0.000       0.016       0.017
arrival_month                        -0.0556      0.006     -8.953      0.000      -0.068      -0.043
arrival_date                         -0.0001      0.002     -0.052      0.959      -0.004       0.004
avg_price_per_room                    0.0191      0.001     27.517      0.000       0.018       0.020
no_of_special_requests               -1.4725      0.033    -45.261      0.000      -1.536      -1.409
market_segment_type_Complementary   -15.5470    532.958     -0.029      0.977   -1060.125    1029.031
market_segment_type_Corporate        -0.8695      0.299     -2.910      0.004      -1.455      -0.284
market_segment_type_Offline          -1.7062      0.287     -5.952      0.000      -2.268      -1.144
market_segment_type_Online            0.1755      0.284      0.617      0.537      -0.382       0.733
=====================================================================================================

# Define a function to compute different metrics to check the performance of a classification model built using statsmodels
def model_performance(model, predictors, target, description, df_perf=None, threshold=0.5):
    """
    Function to compute different metrics to check classification model performance
        model: classifier
        predictors: independent variables
        target: dependent variable
        description: description of the model        
        df_perf: existing dataframe to append the results to
        threshold: threshold for classifying the observation as class 1
    """
    # If df_perf is not provided, create an empty dataframe
    if df_perf is None:
        df_perf = pd.DataFrame(columns=["Model", "Accuracy", "Recall", "Precision", "F1"])
    
    # Checking which probabilities are greater than the threshold
    pred_temp = model.predict(predictors) > threshold
    # Rounding off the above values to get classes
    pred = np.round(pred_temp)

    acc = accuracy_score(target, pred)  # Compute Accuracy
    recall = recall_score(target, pred)  # Compute Recall
    precision = precision_score(target, pred)  # Compute Precision
    f1 = f1_score(target, pred)  # Compute F1-score
   
    # Append the new row with the provided metrics
    df_perf = df_perf.append(
        {"Model": description, "Accuracy": acc, "Recall": recall, "Precision": precision, "F1": f1},
        ignore_index=True
    )
    return df_perf

df_perf = pd.DataFrame(columns=["Model", "Accuracy", "Recall", "Precision", "F1"])

df_perf=model_performance(results0,X_train,y_train,'logit_Model 0_Train',df_perf)
df_perf

df_perf=model_performance(results0,X_test,y_test,'logit_Model 0_Test',df_perf)
df_perf

def plot_cm_train_test(model, X_train, y_train, X_test, y_test, train_model_desc="Model_Train", test_model_desc="Model 1_Test", threshold=0.5):
    # Predictions for model 1 Train
    pred1 = model.predict(X_train) > threshold
    pred1 = np.round(pred1)
    cm1 = confusion_matrix(y_train, pred1)

    # Predictions for model 1 Test
    pred2 = model.predict(X_test) > threshold
    pred2 = np.round(pred2)
    cm2 = confusion_matrix(y_test, pred2)

    # Calculate the percentages for model 1
    cm1_percentage = cm1.astype('float') / cm1.sum(axis=1)[:, np.newaxis] * 100
    # Create labels with both counts and percentages for model 1
    labels1 = [f'{count}\n{percent:.2f}%' for count, percent in zip(cm1.flatten(), cm1_percentage.flatten())]
    labels1 = np.asarray(labels1).reshape(cm1.shape)

    # Calculate the percentages for model 2
    cm2_percentage = cm2.astype('float') / cm2.sum(axis=1)[:, np.newaxis] * 100
    # Create labels with both counts and percentages for model 2
    labels2 = [f'{count}\n{percent:.2f}%' for count, percent in zip(cm2.flatten(), cm2_percentage.flatten())]
    labels2 = np.asarray(labels2).reshape(cm2.shape)

    # Plot side by side
    fig, axes = plt.subplots(1, 2, figsize=(14, 6))

    # Confusion matrix for model 1 Train
    sns.heatmap(cm1, annot=labels1, fmt="", cmap="Blues", ax=axes[0])
    axes[0].set_title(train_model_desc)
    axes[0].set_xlabel("Predicted Values")
    axes[0].set_ylabel("Actual Values")

    # Confusion matrix for model 1 Test
    sns.heatmap(cm2, annot=labels2, fmt="", cmap="Blues", ax=axes[1])
    axes[1].set_title(test_model_desc)
    axes[1].set_xlabel("Predicted Values")
    axes[1].set_ylabel("Actual Values")

    plt.tight_layout()
    plt.show()

plot_cm_train_test(results0, X_train, y_train, X_test, y_test, train_model_desc="Model 0_Train", test_model_desc="Model 0_Test", threshold=0.5)

# initial list of columns
cols = X_train.columns.tolist()

# setting an initial max p-value
max_p_value = 1

while len(cols) > 0:
    # defining the train set
    X_train_aux = X_train[cols]

    # fitting the model
    model = sm.Logit(y_train, X_train_aux).fit(disp=False)

    # getting the p-values and the maximum p-value
    p_values = model.pvalues
    max_p_value = max(p_values)

    # name of the variable with maximum p-value
    feature_with_p_max = p_values.idxmax()

    if max_p_value > 0.05:
        cols.remove(feature_with_p_max)
    else:
        break

selected_features = cols
print(selected_features)

['const', 'no_of_weekend_nights', 'no_of_week_nights', 'lead_time', 'arrival_month', 'avg_price_per_room', 'no_of_special_requests', 'market_segment_type_Offline', 'market_segment_type_Online']

X_train1 = X_train[selected_features]
X_test1 = X_test[selected_features]

# Initialize and fit the model
model1 = sm.Logit(y_train, X_train1)
results1 = model1.fit()
print(results1.summary())

Optimization terminated successfully.
         Current function value: 0.447779
         Iterations 6
                           Logit Regression Results                           
==============================================================================
Dep. Variable:         booking_status   No. Observations:                22153
Model:                          Logit   Df Residuals:                    22144
Method:                           MLE   Df Model:                            8
Date:                Fri, 28 Jun 2024   Pseudo R-squ.:                  0.2980
Time:                        13:25:33   Log-Likelihood:                -9919.6
converged:                       True   LL-Null:                       -14131.
Covariance Type:            nonrobust   LLR p-value:                     0.000
===============================================================================================
                                  coef    std err          z      P>|z|      [0.025      0.975]
-----------------------------------------------------------------------------------------------
const                          -3.4716      0.119    -29.133      0.000      -3.705      -3.238
no_of_weekend_nights            0.0962      0.022      4.449      0.000       0.054       0.139
no_of_week_nights              -0.0518      0.015     -3.510      0.000      -0.081      -0.023
lead_time                       0.0165      0.000     60.703      0.000       0.016       0.017
arrival_month                  -0.0557      0.006     -8.988      0.000      -0.068      -0.044
avg_price_per_room              0.0192      0.001     27.875      0.000       0.018       0.021
no_of_special_requests         -1.4740      0.033    -45.350      0.000      -1.538      -1.410
market_segment_type_Offline    -0.8616      0.102     -8.469      0.000      -1.061      -0.662
market_segment_type_Online      1.0170      0.097     10.513      0.000       0.827       1.207
===============================================================================================

df_perf=model_performance(results1,X_train1,y_train,'logit_Model 1_Train',df_perf)
df_perf

df_perf=model_performance(results1,X_test1,y_test,'logit_Model 1_Test',df_perf)
df_perf

def plot_cm_model1_model2(model1, model2, X_train1, X_train2, y_train, model1_desc="Model 1", model2_desc="Model 2", threshold=0.5):
    # Predictions for model 1
    pred1 = model1.predict(X_train1) > threshold
    pred1 = np.round(pred1)
    cm1 = confusion_matrix(y_train, pred1)

    # Predictions for model 2
    pred2 = model2.predict(X_train2) > threshold
    pred2 = np.round(pred2)
    cm2 = confusion_matrix(y_train, pred2)

    # Calculate the percentages for model 1
    cm1_percentage = cm1.astype('float') / cm1.sum(axis=1)[:, np.newaxis] * 100
    # Create labels with both counts and percentages for model 1
    labels1 = [f'{count}\n{percent:.2f}%' for count, percent in zip(cm1.flatten(), cm1_percentage.flatten())]
    labels1 = np.asarray(labels1).reshape(cm1.shape)

    # Calculate the percentages for model 2
    cm2_percentage = cm2.astype('float') / cm2.sum(axis=1)[:, np.newaxis] * 100
    # Create labels with both counts and percentages for model 2
    labels2 = [f'{count}\n{percent:.2f}%' for count, percent in zip(cm2.flatten(), cm2_percentage.flatten())]
    labels2 = np.asarray(labels2).reshape(cm2.shape)

    # Plot side by side
    fig, axes = plt.subplots(1, 2, figsize=(14, 6))

    # Confusion matrix for model 1
    sns.heatmap(cm1, annot=labels1, fmt="", cmap="Blues", ax=axes[0])
    axes[0].set_title(model1_desc)
    axes[0].set_xlabel("Predicted Values")
    axes[0].set_ylabel("Actual Values")

    # Confusion matrix for model 2
    sns.heatmap(cm2, annot=labels2, fmt="", cmap="Blues", ax=axes[1])
    axes[1].set_title(model2_desc)
    axes[1].set_xlabel("Predicted Values")
    axes[1].set_ylabel("Actual Values")

    plt.tight_layout()
    plt.show()

plot_cm_model1_model2(results0, results1, X_train, X_train1, y_train, "Model 0_Train", "Model 1_Train")

plot_cm_model1_model2(results0, results1, X_test, X_test1, y_test, "Model 0_Test", "Model 1_Test")

logit_roc_auc_train = roc_auc_score(y_train, results1.predict(X_train1))
fpr, tpr, thresholds = roc_curve(y_train, results1.predict(X_train1))
plt.figure(figsize=(7, 5))
plt.plot(fpr, tpr, label="Logistic Regression (area = %0.2f)" % logit_roc_auc_train)
plt.plot([0, 1], [0, 1], "r--")
plt.xlim([0.0, 1.0])
plt.ylim([0.0, 1.05])
plt.xlabel("False Positive Rate")
plt.ylabel("True Positive Rate")
plt.title("Receiver operating characteristic")
plt.legend(loc="lower right")
plt.show()

# Optimal threshold as per AUC-ROC curve
# The optimal cut off would be where tpr is high and fpr is low
fpr, tpr, thresholds = roc_curve(y_train, results1.predict(X_train1))
optimal_idx = np.argmax(tpr - fpr)
optimal_threshold_auc_roc = thresholds[optimal_idx]
print(optimal_threshold_auc_roc)

0.3480366855595747

plot_cm_train_test(results1, X_train1, y_train, X_test1, y_test, train_model_desc="Model 1_Train_th:0.5", test_model_desc="Model 1_Test_th:0.5", threshold=0.5)

plot_cm_train_test(results1, X_train1, y_train, X_test1, y_test, train_model_desc="Model 1_Train_th:0.34", test_model_desc="Model 1_Test_th:0.34", threshold=optimal_threshold_auc_roc)

df_perf=model_performance(results1,X_train1,y_train,'logit_Model 1_Train_ROC',df_perf, threshold=optimal_threshold_auc_roc)
df_perf

df_perf=model_performance(results1,X_test1,y_test,'logit_Model 1_Test_ROC',df_perf, threshold=optimal_threshold_auc_roc)
df_perf

y_scores = results1.predict(X_train1)
prec, rec, tre = precision_recall_curve(y_train, y_scores,)

# Find the threshold where precision equals recall
intersection_idx = np.argwhere(np.diff(np.sign(prec - rec))).flatten()
intersection_threshold = tre[intersection_idx][0]

# Function to plot precision and recall vs threshold
def plot_prec_recall_vs_tresh(precisions, recalls, thresholds):
    plt.plot(thresholds, precisions[:-1], "b--", label="precision")
    plt.plot(thresholds, recalls[:-1], "g--", label="recall")
    plt.axvline(x=intersection_threshold, color='r', linestyle='--', linewidth=2, label='Intersection Threshold')
    plt.xlabel("Threshold")
    plt.legend(loc="upper left")
    plt.ylim([0, 1])
    plt.title(f'Intersection at threshold = {intersection_threshold:.2f}')


plt.figure(figsize=(10, 7))
plot_prec_recall_vs_tresh(prec, rec, tre)
plt.show()

intersection_threshold

0.4214926457734122

plot_cm_train_test(results1, X_train1, y_train, X_test1, y_test, train_model_desc="Model 1_Train_th:0.5", test_model_desc="Model 1_Test_th:0.5", threshold=0.5)

plot_cm_train_test(results1, X_train1, y_train, X_test1, y_test, train_model_desc="Model 1_Train_th:0.34", test_model_desc="Model 1_Test_th:0.34", threshold=optimal_threshold_auc_roc)

plot_cm_train_test(results1, X_train1, y_train, X_test1, y_test, train_model_desc="Model 1_Train_th:0.42", test_model_desc="Model 1_Test_th:0.42", threshold=intersection_threshold)

df_perf=model_performance(results1,X_train1,y_train,'logit_Model 1_Train_P-R',df_perf, threshold=intersection_threshold)
df_perf

df_perf=model_performance(results1,X_test1,y_test,'logit_Model 1_Test_P-R',df_perf, threshold=intersection_threshold)
df_perf

print(results1.summary())

                           Logit Regression Results                           
==============================================================================
Dep. Variable:         booking_status   No. Observations:                22153
Model:                          Logit   Df Residuals:                    22144
Method:                           MLE   Df Model:                            8
Date:                Fri, 28 Jun 2024   Pseudo R-squ.:                  0.2980
Time:                        16:31:32   Log-Likelihood:                -9919.6
converged:                       True   LL-Null:                       -14131.
Covariance Type:            nonrobust   LLR p-value:                     0.000
===============================================================================================
                                  coef    std err          z      P>|z|      [0.025      0.975]
-----------------------------------------------------------------------------------------------
const                          -3.4716      0.119    -29.133      0.000      -3.705      -3.238
no_of_weekend_nights            0.0962      0.022      4.449      0.000       0.054       0.139
no_of_week_nights              -0.0518      0.015     -3.510      0.000      -0.081      -0.023
lead_time                       0.0165      0.000     60.703      0.000       0.016       0.017
arrival_month                  -0.0557      0.006     -8.988      0.000      -0.068      -0.044
avg_price_per_room              0.0192      0.001     27.875      0.000       0.018       0.021
no_of_special_requests         -1.4740      0.033    -45.350      0.000      -1.538      -1.410
market_segment_type_Offline    -0.8616      0.102     -8.469      0.000      -1.061      -0.662
market_segment_type_Online      1.0170      0.097     10.513      0.000       0.827       1.207
===============================================================================================

plot_cm_train_test(results1, X_train1, y_train, X_test1, y_test, train_model_desc="Model 1_Train_th:0.42", test_model_desc="Model 1_Test_th:0.42", threshold=intersection_threshold)

df_perf.tail(2)

# converting coefficients to odds
odds = np.exp(results1.params)

# finding the percentage change
perc_change_odds = (np.exp(results.params) - 1) * 100

# removing limit from number of columns to display
pd.set_option("display.max_columns", None)

# adding the odds to a dataframe
pd.DataFrame({"Odds": odds, "Change_odd%": perc_change_odds}, index=X_train1.columns).T

dTree1 = DecisionTreeClassifier(criterion = 'gini', random_state=1)
dTree1.fit(X_train1, y_train)

DecisionTreeClassifier(random_state=1)

DecisionTreeClassifier(random_state=1)

print("Accuracy on training set : ",dTree1.score(X_train1, y_train))
print("Accuracy on test set : ",dTree1.score(X_test1, y_test))

Accuracy on training set :  0.9925517988534285
Accuracy on test set :  0.8523433385992628

df_perf=model_performance(dTree1,X_train1,y_train,'dTree_Model 1_Train_P-R',df_perf, threshold=intersection_threshold)
df_perf

df_perf=model_performance(dTree1,X_test1,y_test,'dTree_Model 1_Test_P-R',df_perf, threshold=intersection_threshold)
df_perf

plot_cm_train_test(dTree1, X_train1, y_train, X_test1, y_test, train_model_desc="dTree Model 1_Train_th:0.42", test_model_desc="dTree Model 1_Test_th:0.42", threshold=intersection_threshold)

# decision tree feature list
column_names = list(X_train1.columns)
feature_names = column_names
print(feature_names)

['const', 'no_of_weekend_nights', 'no_of_week_nights', 'lead_time', 'arrival_month', 'avg_price_per_room', 'no_of_special_requests', 'market_segment_type_Offline', 'market_segment_type_Online']

# decision tree plot
plt.figure(figsize=(20,30))
tree.plot_tree(dTree1,feature_names=feature_names,filled=True,fontsize=9,node_ids=True,class_names=True)
plt.show()

# Text report showing the rules of a decision tree -
print(tree.export_text(dTree1, feature_names=feature_names, show_weights=True))

|--- lead_time <= 151.50
|   |--- no_of_special_requests <= 0.50
|   |   |--- market_segment_type_Online <= 0.50
|   |   |   |--- lead_time <= 90.50
|   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |--- market_segment_type_Offline <= 0.50
|   |   |   |   |   |   |--- lead_time <= 16.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 87.00
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 47.50
|   |   |   |   |   |   |   |   |   |--- weights: [56.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  47.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 55.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 5.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  5.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  55.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 11.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 10
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  11.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [54.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  87.00
|   |   |   |   |   |   |   |   |--- lead_time <= 8.50
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 4.00
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 162.53
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 11
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  162.53
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  4.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |--- lead_time >  8.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 11.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 3.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  3.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |--- lead_time >  11.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 100.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [6.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  100.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |--- lead_time >  16.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 135.00
|   |   |   |   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 46.00
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 36.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  36.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 4.00] class: 1
|   |   |   |   |   |   |   |   |   |--- lead_time >  46.00
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 107.75
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  107.75
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 17.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  17.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [34.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  135.00
|   |   |   |   |   |   |   |   |--- weights: [0.00, 6.00] class: 1
|   |   |   |   |   |--- market_segment_type_Offline >  0.50
|   |   |   |   |   |   |--- weights: [1626.00, 0.00] class: 0
|   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |--- lead_time <= 65.50
|   |   |   |   |   |   |--- arrival_month <= 9.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 62.40
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 59.75
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 8.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 39.67
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  39.67
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |--- arrival_month >  8.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 12.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [6.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  12.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  59.75
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 39.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  39.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [10.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  62.40
|   |   |   |   |   |   |   |   |--- arrival_month <= 2.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 3.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 67.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  67.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [8.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  3.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [66.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |--- arrival_month >  2.50
|   |   |   |   |   |   |   |   |   |--- market_segment_type_Offline <= 0.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 9
|   |   |   |   |   |   |   |   |   |--- market_segment_type_Offline >  0.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 59.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 18
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  59.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |--- arrival_month >  9.50
|   |   |   |   |   |   |   |--- market_segment_type_Offline <= 0.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 121.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 66.00
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 3.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  3.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [28.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  66.00
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 20.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  20.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  121.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 2.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  2.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 1.00] class: 0
|   |   |   |   |   |   |   |--- market_segment_type_Offline >  0.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 67.75
|   |   |   |   |   |   |   |   |   |--- weights: [111.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  67.75
|   |   |   |   |   |   |   |   |   |--- lead_time <= 0.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 10.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [4.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  10.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |   |--- lead_time >  0.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 24.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  24.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |--- lead_time >  65.50
|   |   |   |   |   |   |--- avg_price_per_room <= 99.98
|   |   |   |   |   |   |   |--- lead_time <= 76.50
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 66.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 73.62
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  73.62
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [4.00, 6.00] class: 1
|   |   |   |   |   |   |   |   |   |--- lead_time >  66.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 75.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  75.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 3.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 3.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 10.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  3.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  3.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 72.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  72.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [7.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- lead_time >  76.50
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [25.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |--- weights: [39.00, 0.00] class: 0
|   |   |   |   |   |   |--- avg_price_per_room >  99.98
|   |   |   |   |   |   |   |--- lead_time <= 85.00
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 128.00
|   |   |   |   |   |   |   |   |   |--- lead_time <= 68.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  68.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 117.80
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  117.80
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 49.00] class: 1
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  128.00
|   |   |   |   |   |   |   |   |   |--- weights: [6.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- lead_time >  85.00
|   |   |   |   |   |   |   |   |--- weights: [17.00, 0.00] class: 0
|   |   |   |--- lead_time >  90.50
|   |   |   |   |--- lead_time <= 117.50
|   |   |   |   |   |--- avg_price_per_room <= 93.58
|   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 75.07
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 58.75
|   |   |   |   |   |   |   |   |   |--- weights: [14.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  58.75
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 4.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 116.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  116.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- arrival_month >  4.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 9.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  9.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |--- avg_price_per_room >  75.07
|   |   |   |   |   |   |   |   |--- arrival_month <= 3.00
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 88.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [63.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  88.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |--- arrival_month >  3.00
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 4.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 80.38
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 14.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  80.38
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- arrival_month >  4.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 96.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  96.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |--- lead_time <= 104.50
|   |   |   |   |   |   |   |   |   |--- weights: [48.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- lead_time >  104.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 71.12
|   |   |   |   |   |   |   |   |   |   |--- weights: [16.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  71.12
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 73.62
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 1.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  73.62
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 5.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 67.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  67.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [19.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  5.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 6.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 4.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 4.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  4.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- arrival_month >  6.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 79.88
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  79.88
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [6.00, 0.00] class: 0
|   |   |   |   |   |--- avg_price_per_room >  93.58
|   |   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |   |--- no_of_week_nights <= 3.50
|   |   |   |   |   |   |   |   |--- arrival_month <= 2.50
|   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- arrival_month >  2.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 134.45
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 97.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  97.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  134.45
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- no_of_week_nights >  3.50
|   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 108.50
|   |   |   |   |   |   |   |   |--- arrival_month <= 9.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 97.33
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 98.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [8.00, 5.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  98.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  97.33
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 7.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [17.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  7.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |--- arrival_month >  9.50
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 44.00] class: 1
|   |   |   |   |   |   |   |--- avg_price_per_room >  108.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 109.50
|   |   |   |   |   |   |   |   |   |--- weights: [42.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  109.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 138.25
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  138.25
|   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |--- lead_time >  117.50
|   |   |   |   |   |--- no_of_week_nights <= 0.50
|   |   |   |   |   |   |--- avg_price_per_room <= 92.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 85.00
|   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  85.00
|   |   |   |   |   |   |   |   |--- weights: [5.00, 2.00] class: 0
|   |   |   |   |   |   |--- avg_price_per_room >  92.50
|   |   |   |   |   |   |   |--- lead_time <= 139.50
|   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- lead_time >  139.50
|   |   |   |   |   |   |   |   |--- weights: [0.00, 16.00] class: 1
|   |   |   |   |   |--- no_of_week_nights >  0.50
|   |   |   |   |   |   |--- avg_price_per_room <= 84.58
|   |   |   |   |   |   |   |--- lead_time <= 118.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 69.88
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  69.88
|   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- lead_time >  118.50
|   |   |   |   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |   |   |   |--- weights: [85.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 149.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [60.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  149.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |--- avg_price_per_room >  84.58
|   |   |   |   |   |   |   |--- avg_price_per_room <= 96.28
|   |   |   |   |   |   |   |   |--- lead_time <= 121.50
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 16.00] class: 1
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- lead_time >  121.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 94.25
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 85.25
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  85.25
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  94.25
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 141.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  141.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |--- avg_price_per_room >  96.28
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 122.00
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 6.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [78.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- arrival_month >  6.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 115.81
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  115.81
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  122.00
|   |   |   |   |   |   |   |   |   |--- lead_time <= 137.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [4.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  137.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 9.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 4.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  9.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |--- market_segment_type_Online >  0.50
|   |   |   |--- lead_time <= 14.50
|   |   |   |   |--- lead_time <= 3.50
|   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 78.75
|   |   |   |   |   |   |   |   |--- weights: [44.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  78.75
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 3.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 134.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 79.30
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  79.30
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 12
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  134.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 135.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  135.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  3.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 4.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |   |--- arrival_month >  4.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 64.92
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 57.00
|   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  57.00
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 12.00] class: 1
|   |   |   |   |   |   |   |--- avg_price_per_room >  64.92
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 134.22
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 4.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [7.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  4.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  134.22
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |--- avg_price_per_room <= 169.67
|   |   |   |   |   |   |   |--- arrival_month <= 8.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 137.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 76.35
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [12.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  76.35
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 123.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 10
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  123.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  137.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 140.00
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 7.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  7.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  140.00
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 158.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  158.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [10.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- arrival_month >  8.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 118.72
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 117.54
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 94.30
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [61.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  94.30
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  117.54
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  118.72
|   |   |   |   |   |   |   |   |   |--- weights: [69.00, 0.00] class: 0
|   |   |   |   |   |   |--- avg_price_per_room >  169.67
|   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |--- arrival_month <= 7.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 6.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- arrival_month >  6.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 0.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  0.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- arrival_month >  7.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 0.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [7.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  0.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 1.00] class: 0
|   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 0.50
|   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  0.50
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |--- lead_time >  3.50
|   |   |   |   |   |--- avg_price_per_room <= 99.62
|   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 76.19
|   |   |   |   |   |   |   |   |--- arrival_month <= 10.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 69.83
|   |   |   |   |   |   |   |   |   |   |--- weights: [46.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  69.83
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 70.45
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  70.45
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [14.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- arrival_month >  10.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 7.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [8.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  7.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |--- avg_price_per_room >  76.19
|   |   |   |   |   |   |   |   |--- arrival_month <= 1.50
|   |   |   |   |   |   |   |   |   |--- weights: [15.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- arrival_month >  1.50
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 8.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 11
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  8.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 85.16
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  85.16
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 12
|   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |--- weights: [96.00, 0.00] class: 0
|   |   |   |   |   |--- avg_price_per_room >  99.62
|   |   |   |   |   |   |--- arrival_month <= 8.50
|   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |--- arrival_month <= 1.50
|   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- arrival_month >  1.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 13.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 172.33
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 15
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  172.33
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |--- lead_time >  13.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 113.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  113.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 7.00] class: 1
|   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 124.35
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 2.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- arrival_month >  2.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 123.42
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  123.42
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  124.35
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 160.00
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 10.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 15.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  10.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  160.00
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |--- arrival_month >  8.50
|   |   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |   |--- lead_time <= 9.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 113.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [16.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  113.00
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |--- lead_time >  9.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 10.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 147.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  147.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |--- lead_time >  10.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 146.10
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  146.10
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |   |--- weights: [29.00, 0.00] class: 0
|   |   |   |--- lead_time >  14.50
|   |   |   |   |--- avg_price_per_room <= 93.04
|   |   |   |   |   |--- avg_price_per_room <= 59.43
|   |   |   |   |   |   |--- avg_price_per_room <= 29.29
|   |   |   |   |   |   |   |--- weights: [28.00, 0.00] class: 0
|   |   |   |   |   |   |--- avg_price_per_room >  29.29
|   |   |   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 54.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |--- lead_time >  54.00
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 54.49
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  54.49
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 56.28
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 48.01
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  48.01
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  56.28
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 57.43
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  57.43
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [5.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 4.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 8.00] class: 1
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  4.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 102.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [7.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  102.00
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 113.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  113.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |--- avg_price_per_room >  59.43
|   |   |   |   |   |   |--- lead_time <= 28.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 76.88
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 74.90
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 70.97
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 15.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  15.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  70.97
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 72.85
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  72.85
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  74.90
|   |   |   |   |   |   |   |   |   |--- weights: [16.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  76.88
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 80.90
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 6.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  6.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  80.90
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 5.00
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [8.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |   |--- arrival_month >  5.00
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 15.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  15.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |--- lead_time >  28.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 72.85
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 68.13
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 67.49
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 11
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  67.49
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [5.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  68.13
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 69.58
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 59.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  59.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [15.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  69.58
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 71.34
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 10
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  71.34
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 11
|   |   |   |   |   |   |   |--- avg_price_per_room >  72.85
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 73.17
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 13.00] class: 1
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  73.17
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 85.20
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 13
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  85.20
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 11
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 34.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  34.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 19
|   |   |   |   |--- avg_price_per_room >  93.04
|   |   |   |   |   |--- lead_time <= 48.50
|   |   |   |   |   |   |--- arrival_month <= 7.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 135.95
|   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 47.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 45.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 11
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  45.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 10.00] class: 1
|   |   |   |   |   |   |   |   |   |--- lead_time >  47.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- arrival_month >  1.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 93.70
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  93.70
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 17
|   |   |   |   |   |   |   |--- avg_price_per_room >  135.95
|   |   |   |   |   |   |   |   |--- lead_time <= 45.50
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 9
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 44.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  44.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- lead_time >  45.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 158.40
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 153.45
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  153.45
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  158.40
|   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |--- arrival_month >  7.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 124.90
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 27.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [10.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  27.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 10.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 8.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  8.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 10
|   |   |   |   |   |   |   |   |   |--- arrival_month >  10.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 24.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  24.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |--- avg_price_per_room >  124.90
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 143.42
|   |   |   |   |   |   |   |   |   |--- lead_time <= 38.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 10
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  38.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 126.58
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  126.58
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  143.42
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 144.76
|   |   |   |   |   |   |   |   |   |   |--- weights: [6.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  144.76
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 152.79
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  152.79
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 11
|   |   |   |   |   |--- lead_time >  48.50
|   |   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 108.85
|   |   |   |   |   |   |   |   |--- lead_time <= 131.50
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 105.90
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 13
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  105.90
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |--- lead_time >  131.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 96.06
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 5.00] class: 1
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  96.06
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [14.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  108.85
|   |   |   |   |   |   |   |   |--- lead_time <= 141.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 110.09
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 14.00] class: 1
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  110.09
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 14
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 9
|   |   |   |   |   |   |   |   |--- lead_time >  141.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 145.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [4.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  145.00
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |   |--- arrival_month <= 10.50
|   |   |   |   |   |   |   |   |--- lead_time <= 135.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 102.75
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 119.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  119.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  102.75
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 8.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 16
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  8.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 13
|   |   |   |   |   |   |   |   |--- lead_time >  135.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 148.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 7.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 10
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  7.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 9
|   |   |   |   |   |   |   |   |   |--- lead_time >  148.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 4.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 14.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  4.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |--- arrival_month >  10.50
|   |   |   |   |   |   |   |   |--- lead_time <= 54.00
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 9.00] class: 1
|   |   |   |   |   |   |   |   |--- lead_time >  54.00
|   |   |   |   |   |   |   |   |   |--- lead_time <= 108.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 106.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 12
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  106.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  108.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 4.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 8.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  4.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |--- no_of_special_requests >  0.50
|   |   |--- lead_time <= 72.50
|   |   |   |--- no_of_special_requests <= 1.50
|   |   |   |   |--- avg_price_per_room <= 123.25
|   |   |   |   |   |--- market_segment_type_Online <= 0.50
|   |   |   |   |   |   |--- lead_time <= 71.50
|   |   |   |   |   |   |   |--- weights: [562.00, 0.00] class: 0
|   |   |   |   |   |   |--- lead_time >  71.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 86.00
|   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  86.00
|   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |--- market_segment_type_Online >  0.50
|   |   |   |   |   |   |--- lead_time <= 16.50
|   |   |   |   |   |   |   |--- lead_time <= 4.50
|   |   |   |   |   |   |   |   |--- arrival_month <= 7.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 2.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |--- arrival_month >  2.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [130.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- arrival_month >  7.50
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 109.12
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 10
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  109.12
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [31.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [40.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- lead_time >  4.50
|   |   |   |   |   |   |   |   |--- arrival_month <= 8.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [48.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- arrival_month >  1.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 7.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 13
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  7.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |--- arrival_month >  8.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 9.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 119.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [98.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  119.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |--- lead_time >  9.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 77.19
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  77.19
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |--- lead_time >  16.50
|   |   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 67.33
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 44.24
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  44.24
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 3.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [75.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  3.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  67.33
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 68.03
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 3.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  3.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 6.00] class: 1
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  68.03
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [50.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 24
|   |   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |   |--- weights: [160.00, 0.00] class: 0
|   |   |   |   |--- avg_price_per_room >  123.25
|   |   |   |   |   |--- lead_time <= 4.50
|   |   |   |   |   |   |--- arrival_month <= 9.50
|   |   |   |   |   |   |   |--- no_of_week_nights <= 4.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 175.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 0.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 133.25
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  133.25
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [24.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  0.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [137.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  175.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 176.19
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  176.19
|   |   |   |   |   |   |   |   |   |   |--- weights: [15.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- no_of_week_nights >  4.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 138.64
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  138.64
|   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |--- arrival_month >  9.50
|   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 0.50
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  0.50
|   |   |   |   |   |   |   |   |   |--- weights: [29.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 130.67
|   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  130.67
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 1.00] class: 0
|   |   |   |   |   |--- lead_time >  4.50
|   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |--- arrival_month <= 8.50
|   |   |   |   |   |   |   |   |--- market_segment_type_Offline <= 0.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 35.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 6.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 11
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  6.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 20
|   |   |   |   |   |   |   |   |   |--- lead_time >  35.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 4.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  4.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 9
|   |   |   |   |   |   |   |   |--- market_segment_type_Offline >  0.50
|   |   |   |   |   |   |   |   |   |--- weights: [19.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- arrival_month >  8.50
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 10.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 123.99
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  123.99
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 17
|   |   |   |   |   |   |   |   |   |--- arrival_month >  10.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 29.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 9
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |   |--- lead_time >  29.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 60.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 12
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  60.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |--- weights: [43.00, 0.00] class: 0
|   |   |   |--- no_of_special_requests >  1.50
|   |   |   |   |--- no_of_week_nights <= 3.50
|   |   |   |   |   |--- weights: [1422.00, 0.00] class: 0
|   |   |   |   |--- no_of_week_nights >  3.50
|   |   |   |   |   |--- lead_time <= 62.50
|   |   |   |   |   |   |--- arrival_month <= 4.50
|   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |--- lead_time <= 21.00
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 118.75
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [6.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  118.75
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |--- lead_time >  21.00
|   |   |   |   |   |   |   |   |   |--- weights: [9.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |--- lead_time <= 48.00
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |--- lead_time >  48.00
|   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |--- arrival_month >  4.50
|   |   |   |   |   |   |   |--- lead_time <= 6.50
|   |   |   |   |   |   |   |   |--- weights: [29.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- lead_time >  6.50
|   |   |   |   |   |   |   |   |--- arrival_month <= 10.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 140.17
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 139.35
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  139.35
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  140.17
|   |   |   |   |   |   |   |   |   |   |--- weights: [21.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- arrival_month >  10.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 79.05
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 16.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  16.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [9.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  79.05
|   |   |   |   |   |   |   |   |   |   |--- weights: [37.00, 0.00] class: 0
|   |   |   |   |   |--- lead_time >  62.50
|   |   |   |   |   |   |--- lead_time <= 69.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 92.61
|   |   |   |   |   |   |   |   |--- lead_time <= 65.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 90.01
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  90.01
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |--- lead_time >  65.50
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |--- avg_price_per_room >  92.61
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 139.82
|   |   |   |   |   |   |   |   |   |--- weights: [4.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  139.82
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |--- lead_time >  69.50
|   |   |   |   |   |   |   |--- weights: [6.00, 0.00] class: 0
|   |   |--- lead_time >  72.50
|   |   |   |--- arrival_month <= 8.50
|   |   |   |   |--- lead_time <= 150.50
|   |   |   |   |   |--- market_segment_type_Online <= 0.50
|   |   |   |   |   |   |--- lead_time <= 91.50
|   |   |   |   |   |   |   |--- weights: [56.00, 0.00] class: 0
|   |   |   |   |   |   |--- lead_time >  91.50
|   |   |   |   |   |   |   |--- lead_time <= 92.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 85.38
|   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  85.38
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |--- lead_time >  92.50
|   |   |   |   |   |   |   |   |--- lead_time <= 127.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 126.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 108.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  108.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [22.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  126.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |--- lead_time >  127.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 73.46
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [11.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  73.46
|   |   |   |   |   |   |   |   |   |   |--- weights: [40.00, 0.00] class: 0
|   |   |   |   |   |--- market_segment_type_Online >  0.50
|   |   |   |   |   |   |--- no_of_special_requests <= 1.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 76.54
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 76.40
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 7.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 67.92
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [27.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  67.92
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |   |--- arrival_month >  7.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  76.40
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 7.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |--- arrival_month >  7.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 87.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  87.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |--- avg_price_per_room >  76.54
|   |   |   |   |   |   |   |   |--- lead_time <= 142.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 138.20
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 17
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  138.20
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 10
|   |   |   |   |   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 102.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 13
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  102.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 13
|   |   |   |   |   |   |   |   |--- lead_time >  142.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 112.11
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 4.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  4.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 9
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  112.11
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |--- no_of_special_requests >  1.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 82.52
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 107.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  107.00
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 7.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 4.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  7.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 81.60
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 3.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [14.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  3.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  81.60
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |--- avg_price_per_room >  82.52
|   |   |   |   |   |   |   |   |--- arrival_month <= 3.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 89.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  89.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |--- arrival_month >  3.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 142.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 100.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  100.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |--- lead_time >  142.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 145.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  145.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [13.00, 0.00] class: 0
|   |   |   |   |--- lead_time >  150.50
|   |   |   |   |   |--- avg_price_per_room <= 79.84
|   |   |   |   |   |   |--- weights: [5.00, 0.00] class: 0
|   |   |   |   |   |--- avg_price_per_room >  79.84
|   |   |   |   |   |   |--- weights: [0.00, 9.00] class: 1
|   |   |   |--- arrival_month >  8.50
|   |   |   |   |--- lead_time <= 100.50
|   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |--- market_segment_type_Offline <= 0.50
|   |   |   |   |   |   |   |--- no_of_special_requests <= 1.50
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 78.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 99.95
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [5.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  99.95
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |--- lead_time >  78.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 82.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 5.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  82.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 82.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 9
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |--- lead_time >  82.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 10.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 9
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  10.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |--- no_of_special_requests >  1.50
|   |   |   |   |   |   |   |   |--- lead_time <= 90.50
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 3.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [60.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  3.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 82.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  82.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [7.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- lead_time >  90.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 90.60
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 70.52
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  70.52
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  90.60
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [13.00, 0.00] class: 0
|   |   |   |   |   |   |--- market_segment_type_Offline >  0.50
|   |   |   |   |   |   |   |--- weights: [38.00, 0.00] class: 0
|   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |--- lead_time <= 99.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 73.43
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 71.56
|   |   |   |   |   |   |   |   |   |--- weights: [16.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  71.56
|   |   |   |   |   |   |   |   |   |--- lead_time <= 94.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 1.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  94.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [4.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  73.43
|   |   |   |   |   |   |   |   |--- weights: [76.00, 0.00] class: 0
|   |   |   |   |   |   |--- lead_time >  99.50
|   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |--- lead_time >  100.50
|   |   |   |   |   |--- lead_time <= 104.50
|   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |--- no_of_special_requests <= 1.50
|   |   |   |   |   |   |   |   |--- lead_time <= 103.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 11.00
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- arrival_month >  11.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 8.00] class: 1
|   |   |   |   |   |   |   |   |--- lead_time >  103.50
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 11.00] class: 1
|   |   |   |   |   |   |   |--- no_of_special_requests >  1.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 85.73
|   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  85.73
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 4.00] class: 1
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |--- lead_time <= 102.50
|   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |--- lead_time >  102.50
|   |   |   |   |   |   |   |   |--- weights: [11.00, 0.00] class: 0
|   |   |   |   |   |--- lead_time >  104.50
|   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 159.75
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 139.69
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 71.12
|   |   |   |   |   |   |   |   |   |   |--- weights: [9.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  71.12
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 9.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  9.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 17
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  139.69
|   |   |   |   |   |   |   |   |   |--- no_of_special_requests <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 9.00] class: 1
|   |   |   |   |   |   |   |   |   |--- no_of_special_requests >  1.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 114.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  114.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  159.75
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 3.50
|   |   |   |   |   |   |   |   |   |--- weights: [16.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  3.50
|   |   |   |   |   |   |   |   |   |--- no_of_special_requests <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |--- no_of_special_requests >  1.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |--- lead_time <= 150.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 79.97
|   |   |   |   |   |   |   |   |   |--- lead_time <= 121.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 46.57
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  46.57
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |--- lead_time >  121.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 70.12
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  70.12
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  79.97
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 106.42
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 86.38
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  86.38
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  106.42
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 114.03
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  114.03
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |--- lead_time >  150.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 98.17
|   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  98.17
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 4.00] class: 1
|--- lead_time >  151.50
|   |--- avg_price_per_room <= 100.04
|   |   |--- no_of_special_requests <= 0.50
|   |   |   |--- market_segment_type_Online <= 0.50
|   |   |   |   |--- lead_time <= 232.50
|   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |--- avg_price_per_room <= 82.88
|   |   |   |   |   |   |   |--- lead_time <= 195.50
|   |   |   |   |   |   |   |   |--- weights: [30.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- lead_time >  195.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 75.75
|   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  75.75
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 77.25
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  77.25
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 204.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  204.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 3.00] class: 0
|   |   |   |   |   |   |--- avg_price_per_room >  82.88
|   |   |   |   |   |   |   |--- weights: [0.00, 60.00] class: 1
|   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |--- lead_time <= 181.50
|   |   |   |   |   |   |   |--- arrival_month <= 6.50
|   |   |   |   |   |   |   |   |--- lead_time <= 157.50
|   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- lead_time >  157.50
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 31.00] class: 1
|   |   |   |   |   |   |   |--- arrival_month >  6.50
|   |   |   |   |   |   |   |   |--- lead_time <= 165.00
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 86.02
|   |   |   |   |   |   |   |   |   |   |--- weights: [45.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  86.02
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 156.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  156.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |--- lead_time >  165.00
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 71.12
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 27.00] class: 1
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  71.12
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 167.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  167.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |--- lead_time >  181.50
|   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 78.75
|   |   |   |   |   |   |   |   |   |--- weights: [84.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  78.75
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 90.47
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [6.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  90.47
|   |   |   |   |   |   |   |   |   |   |--- weights: [73.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |--- lead_time <= 191.50
|   |   |   |   |   |   |   |   |   |--- weights: [19.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- lead_time >  191.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 194.00
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 75.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 9.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  75.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  194.00
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 83.38
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  83.38
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |--- lead_time >  232.50
|   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |--- arrival_month <= 10.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 94.00
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 75.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 7.00
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 283.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  283.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |--- arrival_month >  7.00
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 73.62
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  73.62
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 13.00] class: 1
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  75.50
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 9.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  9.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |--- avg_price_per_room >  94.00
|   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 95.33
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 5.00] class: 1
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  95.33
|   |   |   |   |   |   |   |   |   |   |--- weights: [10.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 84.00] class: 1
|   |   |   |   |   |   |--- arrival_month >  10.50
|   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |--- weights: [0.00, 117.00] class: 1
|   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 72.50
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  72.50
|   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |--- weights: [46.00, 0.00] class: 0
|   |   |   |--- market_segment_type_Online >  0.50
|   |   |   |   |--- avg_price_per_room <= 37.69
|   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |--- weights: [0.00, 4.00] class: 1
|   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |--- lead_time <= 217.00
|   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |--- weights: [1.00, 1.00] class: 0
|   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |--- weights: [1.00, 1.00] class: 0
|   |   |   |   |   |   |--- lead_time >  217.00
|   |   |   |   |   |   |   |--- weights: [7.00, 0.00] class: 0
|   |   |   |   |--- avg_price_per_room >  37.69
|   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |--- weights: [0.00, 512.00] class: 1
|   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |--- lead_time <= 225.50
|   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- lead_time >  225.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 65.07
|   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  65.07
|   |   |   |   |   |   |   |   |   |--- lead_time <= 266.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |--- lead_time >  266.00
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 277.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  277.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 79.97
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 7.00] class: 1
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  79.97
|   |   |   |   |   |   |   |   |   |--- lead_time <= 269.75
|   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  269.75
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |--- weights: [0.00, 45.00] class: 1
|   |   |--- no_of_special_requests >  0.50
|   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |--- lead_time <= 180.50
|   |   |   |   |   |--- lead_time <= 158.50
|   |   |   |   |   |   |--- arrival_month <= 9.00
|   |   |   |   |   |   |   |--- avg_price_per_room <= 98.81
|   |   |   |   |   |   |   |   |--- weights: [7.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  98.81
|   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |--- arrival_month >  9.00
|   |   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |--- lead_time >  158.50
|   |   |   |   |   |   |--- lead_time <= 176.00
|   |   |   |   |   |   |   |--- weights: [37.00, 0.00] class: 0
|   |   |   |   |   |   |--- lead_time >  176.00
|   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 96.92
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  96.92
|   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |--- lead_time <= 177.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 78.62
|   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  78.62
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 86.92
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  86.92
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- lead_time >  177.50
|   |   |   |   |   |   |   |   |   |--- weights: [12.00, 0.00] class: 0
|   |   |   |   |--- lead_time >  180.50
|   |   |   |   |   |--- market_segment_type_Online <= 0.50
|   |   |   |   |   |   |--- avg_price_per_room <= 96.45
|   |   |   |   |   |   |   |--- lead_time <= 280.75
|   |   |   |   |   |   |   |   |--- weights: [11.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- lead_time >  280.75
|   |   |   |   |   |   |   |   |--- no_of_special_requests <= 1.50
|   |   |   |   |   |   |   |   |   |--- weights: [2.00, 1.00] class: 0
|   |   |   |   |   |   |   |   |--- no_of_special_requests >  1.50
|   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |--- avg_price_per_room >  96.45
|   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |--- market_segment_type_Online >  0.50
|   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 45.44
|   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  45.44
|   |   |   |   |   |   |   |   |--- weights: [0.00, 114.00] class: 1
|   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |--- lead_time <= 288.75
|   |   |   |   |   |   |   |   |--- lead_time <= 226.50
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |--- lead_time >  226.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 276.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [6.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  276.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 281.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  281.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- lead_time >  288.75
|   |   |   |   |   |   |   |   |--- weights: [0.00, 5.00] class: 1
|   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |--- arrival_month <= 10.50
|   |   |   |   |   |--- market_segment_type_Online <= 0.50
|   |   |   |   |   |   |--- no_of_special_requests <= 1.50
|   |   |   |   |   |   |   |--- weights: [133.00, 0.00] class: 0
|   |   |   |   |   |   |--- no_of_special_requests >  1.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 76.24
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 3.50
|   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  3.50
|   |   |   |   |   |   |   |   |   |--- weights: [1.00, 1.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  76.24
|   |   |   |   |   |   |   |   |--- weights: [13.00, 0.00] class: 0
|   |   |   |   |   |--- market_segment_type_Online >  0.50
|   |   |   |   |   |   |--- avg_price_per_room <= 76.54
|   |   |   |   |   |   |   |--- weights: [50.00, 0.00] class: 0
|   |   |   |   |   |   |--- avg_price_per_room >  76.54
|   |   |   |   |   |   |   |--- lead_time <= 178.50
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |--- weights: [36.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 77.24
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 153.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  153.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  77.24
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 160.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  160.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |--- lead_time >  178.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 98.17
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 94.72
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  94.72
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 233.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  233.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 9
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  98.17
|   |   |   |   |   |   |   |   |   |--- lead_time <= 192.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 190.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  190.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |   |--- lead_time >  192.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 99.22
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  99.22
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [6.00, 0.00] class: 0
|   |   |   |   |--- arrival_month >  10.50
|   |   |   |   |   |--- market_segment_type_Offline <= 0.50
|   |   |   |   |   |   |--- no_of_week_nights <= 0.50
|   |   |   |   |   |   |   |--- weights: [7.00, 0.00] class: 0
|   |   |   |   |   |   |--- no_of_week_nights >  0.50
|   |   |   |   |   |   |   |--- no_of_week_nights <= 4.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 83.20
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 71.40
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  71.40
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 73.69
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  73.69
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [5.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  83.20
|   |   |   |   |   |   |   |   |   |--- lead_time <= 191.00
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 87.25
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  87.25
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  191.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 4.00] class: 1
|   |   |   |   |   |   |   |--- no_of_week_nights >  4.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 76.38
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 245.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  245.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  76.38
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |--- market_segment_type_Offline >  0.50
|   |   |   |   |   |   |--- weights: [8.00, 0.00] class: 0
|   |--- avg_price_per_room >  100.04
|   |   |--- arrival_month <= 11.50
|   |   |   |--- weights: [0.00, 1803.00] class: 1
|   |   |--- arrival_month >  11.50
|   |   |   |--- no_of_special_requests <= 0.50
|   |   |   |   |--- weights: [52.00, 0.00] class: 0
|   |   |   |--- no_of_special_requests >  0.50
|   |   |   |   |--- lead_time <= 287.25
|   |   |   |   |   |--- no_of_special_requests <= 1.50
|   |   |   |   |   |   |--- lead_time <= 153.50
|   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |--- lead_time >  153.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 145.22
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 107.74
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 105.62
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  105.62
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  107.74
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 5.00] class: 1
|   |   |   |   |   |   |   |--- avg_price_per_room >  145.22
|   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |--- no_of_special_requests >  1.50
|   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |--- no_of_week_nights <= 4.50
|   |   |   |   |   |   |   |   |--- weights: [7.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- no_of_week_nights >  4.50
|   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |--- lead_time >  287.25
|   |   |   |   |   |--- weights: [0.00, 4.00] class: 1

# importance of features in the tree building ( The importance of a feature is computed as the 
#(normalized) total reduction of the criterion brought by that feature. It is also known as the Gini importance )
print (pd.DataFrame(dTree1.feature_importances_, columns = ["Imp"], index = X_train1.columns).sort_values(by = 'Imp', ascending = False))

                             Imp
lead_time                   0.39
avg_price_per_room          0.24
arrival_month               0.10
market_segment_type_Online  0.10
no_of_week_nights           0.06
no_of_special_requests      0.06
no_of_weekend_nights        0.05
market_segment_type_Offline 0.00
const                       0.00

# Bar plot showing the importances a decision tree -
importances = dTree1.feature_importances_
indices = np.argsort(importances)
plt.figure(figsize=(12, 12))
plt.title("Feature Importances")
plt.barh(range(len(indices)), importances[indices], color="violet", align="center")
plt.yticks(range(len(indices)), [feature_names[i] for i in indices])
plt.xlabel("Relative Importance")
plt.show()

# Using GridSearch for Hyperparameter tuning of our tree mode

# Choose the type of classifier.
estimator = DecisionTreeClassifier(random_state=1)

# Grid of parameters to choose from

parameters = {
    "max_depth": np.arange(2, 7, 2),
    "max_leaf_nodes": [50, 75, 150, 250],
    "min_samples_split": [10, 30, 50, 70],
}

# Type of scoring used to compare parameter combinations
acc_scorer = make_scorer(f1_score)

# Run the grid search
grid_obj = GridSearchCV(estimator, parameters, scoring=acc_scorer, cv=5)
grid_obj = grid_obj.fit(X_train1, y_train)

# Set the clf to the best combination of parameters
estimator = grid_obj.best_estimator_

# Fit the best algorithm to the data.
estimator.fit(X_train1, y_train)

DecisionTreeClassifier(max_depth=6, max_leaf_nodes=75, min_samples_split=10,
                       random_state=1)

DecisionTreeClassifier(max_depth=6, max_leaf_nodes=75, min_samples_split=10,
                       random_state=1)

df_perf=model_performance(estimator,X_train1,y_train,'dTree_Model 1_Train_P-R_GridSCV',df_perf, threshold=intersection_threshold)
df_perf=model_performance(estimator,X_test1,y_test,'dTree_Model 1_Test_P-R_GridSCV',df_perf, threshold=intersection_threshold)
df_perf

plot_cm_train_test(estimator, X_train1, y_train, X_test1, y_test, train_model_desc="dTree Model 1_Train_th:0.42_GridSCV", test_model_desc="dTree Model 1_Test_th:0.42_GridSCV", threshold=intersection_threshold)

# decision tree plot
plt.figure(figsize=(20,30))
tree.plot_tree(estimator,feature_names=feature_names,filled=True,fontsize=9,node_ids=True,class_names=True)
plt.show()

# Text report showing the rules of a decision tree -
print(tree.export_text(estimator, feature_names=feature_names, show_weights=True))

|--- lead_time <= 151.50
|   |--- no_of_special_requests <= 0.50
|   |   |--- market_segment_type_Online <= 0.50
|   |   |   |--- lead_time <= 90.50
|   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |--- market_segment_type_Offline <= 0.50
|   |   |   |   |   |   |--- weights: [558.00, 79.00] class: 0
|   |   |   |   |   |--- market_segment_type_Offline >  0.50
|   |   |   |   |   |   |--- weights: [1626.00, 0.00] class: 0
|   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |--- lead_time <= 65.50
|   |   |   |   |   |   |--- weights: [1114.00, 141.00] class: 0
|   |   |   |   |   |--- lead_time >  65.50
|   |   |   |   |   |   |--- weights: [188.00, 113.00] class: 0
|   |   |   |--- lead_time >  90.50
|   |   |   |   |--- lead_time <= 117.50
|   |   |   |   |   |--- avg_price_per_room <= 93.58
|   |   |   |   |   |   |--- weights: [269.00, 141.00] class: 0
|   |   |   |   |   |--- avg_price_per_room >  93.58
|   |   |   |   |   |   |--- weights: [104.00, 188.00] class: 1
|   |   |   |   |--- lead_time >  117.50
|   |   |   |   |   |--- no_of_week_nights <= 0.50
|   |   |   |   |   |   |--- weights: [7.00, 20.00] class: 1
|   |   |   |   |   |--- no_of_week_nights >  0.50
|   |   |   |   |   |   |--- weights: [404.00, 68.00] class: 0
|   |   |--- market_segment_type_Online >  0.50
|   |   |   |--- lead_time <= 14.50
|   |   |   |   |--- lead_time <= 3.50
|   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |--- weights: [213.00, 52.00] class: 0
|   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |--- weights: [341.00, 28.00] class: 0
|   |   |   |   |--- lead_time >  3.50
|   |   |   |   |   |--- avg_price_per_room <= 99.62
|   |   |   |   |   |   |--- weights: [289.00, 55.00] class: 0
|   |   |   |   |   |--- avg_price_per_room >  99.62
|   |   |   |   |   |   |--- weights: [173.00, 181.00] class: 1
|   |   |   |--- lead_time >  14.50
|   |   |   |   |--- avg_price_per_room <= 93.04
|   |   |   |   |   |--- avg_price_per_room <= 59.43
|   |   |   |   |   |   |--- weights: [79.00, 19.00] class: 0
|   |   |   |   |   |--- avg_price_per_room >  59.43
|   |   |   |   |   |   |--- weights: [474.00, 542.00] class: 1
|   |   |   |   |--- avg_price_per_room >  93.04
|   |   |   |   |   |--- lead_time <= 48.50
|   |   |   |   |   |   |--- weights: [328.00, 539.00] class: 1
|   |   |   |   |   |--- lead_time >  48.50
|   |   |   |   |   |   |--- weights: [357.00, 1055.00] class: 1
|   |--- no_of_special_requests >  0.50
|   |   |--- lead_time <= 72.50
|   |   |   |--- no_of_special_requests <= 1.50
|   |   |   |   |--- avg_price_per_room <= 123.25
|   |   |   |   |   |--- market_segment_type_Online <= 0.50
|   |   |   |   |   |   |--- weights: [565.00, 1.00] class: 0
|   |   |   |   |   |--- market_segment_type_Online >  0.50
|   |   |   |   |   |   |--- weights: [2052.00, 277.00] class: 0
|   |   |   |   |--- avg_price_per_room >  123.25
|   |   |   |   |   |--- lead_time <= 4.50
|   |   |   |   |   |   |--- weights: [229.00, 8.00] class: 0
|   |   |   |   |   |--- lead_time >  4.50
|   |   |   |   |   |   |--- weights: [694.00, 253.00] class: 0
|   |   |   |--- no_of_special_requests >  1.50
|   |   |   |   |--- no_of_week_nights <= 3.50
|   |   |   |   |   |--- weights: [1422.00, 0.00] class: 0
|   |   |   |   |--- no_of_week_nights >  3.50
|   |   |   |   |   |--- lead_time <= 62.50
|   |   |   |   |   |   |--- weights: [157.00, 20.00] class: 0
|   |   |   |   |   |--- lead_time >  62.50
|   |   |   |   |   |   |--- weights: [11.00, 6.00] class: 0
|   |   |--- lead_time >  72.50
|   |   |   |--- arrival_month <= 8.50
|   |   |   |   |--- lead_time <= 150.50
|   |   |   |   |   |--- market_segment_type_Online <= 0.50
|   |   |   |   |   |   |--- weights: [186.00, 9.00] class: 0
|   |   |   |   |   |--- market_segment_type_Online >  0.50
|   |   |   |   |   |   |--- weights: [1039.00, 213.00] class: 0
|   |   |   |   |--- lead_time >  150.50
|   |   |   |   |   |--- avg_price_per_room <= 79.84
|   |   |   |   |   |   |--- weights: [5.00, 0.00] class: 0
|   |   |   |   |   |--- avg_price_per_room >  79.84
|   |   |   |   |   |   |--- weights: [0.00, 9.00] class: 1
|   |   |   |--- arrival_month >  8.50
|   |   |   |   |--- lead_time <= 100.50
|   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |--- weights: [225.00, 91.00] class: 0
|   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |--- weights: [101.00, 2.00] class: 0
|   |   |   |   |--- lead_time >  100.50
|   |   |   |   |   |--- lead_time <= 104.50
|   |   |   |   |   |   |--- weights: [19.00, 29.00] class: 1
|   |   |   |   |   |--- lead_time >  104.50
|   |   |   |   |   |   |--- weights: [206.00, 113.00] class: 0
|--- lead_time >  151.50
|   |--- avg_price_per_room <= 100.04
|   |   |--- no_of_special_requests <= 0.50
|   |   |   |--- market_segment_type_Online <= 0.50
|   |   |   |   |--- lead_time <= 232.50
|   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |--- weights: [36.00, 64.00] class: 1
|   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |--- weights: [356.00, 111.00] class: 0
|   |   |   |   |--- lead_time >  232.50
|   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |--- weights: [227.00, 399.00] class: 1
|   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |--- weights: [46.00, 0.00] class: 0
|   |   |   |--- market_segment_type_Online >  0.50
|   |   |   |   |--- avg_price_per_room <= 37.69
|   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |--- weights: [0.00, 4.00] class: 1
|   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |--- weights: [9.00, 2.00] class: 0
|   |   |   |   |--- avg_price_per_room >  37.69
|   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |--- weights: [0.00, 512.00] class: 1
|   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |--- weights: [6.00, 59.00] class: 1
|   |   |--- no_of_special_requests >  0.50
|   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |--- lead_time <= 180.50
|   |   |   |   |   |--- lead_time <= 158.50
|   |   |   |   |   |   |--- weights: [9.00, 4.00] class: 0
|   |   |   |   |   |--- lead_time >  158.50
|   |   |   |   |   |   |--- weights: [54.00, 3.00] class: 0
|   |   |   |   |--- lead_time >  180.50
|   |   |   |   |   |--- market_segment_type_Online <= 0.50
|   |   |   |   |   |   |--- weights: [14.00, 2.00] class: 0
|   |   |   |   |   |--- market_segment_type_Online >  0.50
|   |   |   |   |   |   |--- weights: [9.00, 125.00] class: 1
|   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |--- arrival_month <= 10.50
|   |   |   |   |   |--- market_segment_type_Offline <= 0.50
|   |   |   |   |   |   |--- weights: [274.00, 49.00] class: 0
|   |   |   |   |   |--- market_segment_type_Offline >  0.50
|   |   |   |   |   |   |--- weights: [148.00, 1.00] class: 0
|   |   |   |   |--- arrival_month >  10.50
|   |   |   |   |   |--- market_segment_type_Offline <= 0.50
|   |   |   |   |   |   |--- weights: [31.00, 27.00] class: 0
|   |   |   |   |   |--- market_segment_type_Offline >  0.50
|   |   |   |   |   |   |--- weights: [8.00, 0.00] class: 0
|   |--- avg_price_per_room >  100.04
|   |   |--- arrival_month <= 11.50
|   |   |   |--- weights: [0.00, 1803.00] class: 1
|   |   |--- arrival_month >  11.50
|   |   |   |--- no_of_special_requests <= 0.50
|   |   |   |   |--- weights: [52.00, 0.00] class: 0
|   |   |   |--- no_of_special_requests >  0.50
|   |   |   |   |--- lead_time <= 287.25
|   |   |   |   |   |--- no_of_special_requests <= 1.50
|   |   |   |   |   |   |--- weights: [3.00, 6.00] class: 1
|   |   |   |   |   |--- no_of_special_requests >  1.50
|   |   |   |   |   |   |--- weights: [7.00, 2.00] class: 0
|   |   |   |   |--- lead_time >  287.25
|   |   |   |   |   |--- weights: [0.00, 4.00] class: 1

# importance of features in the tree building ( The importance of a feature is computed as the 
#(normalized) total reduction of the criterion brought by that feature. It is also known as the Gini importance )
print (pd.DataFrame(estimator.feature_importances_, columns = ["Imp"], index = X_train1.columns).sort_values(by = 'Imp', ascending = False))

                             Imp
lead_time                   0.49
market_segment_type_Online  0.19
avg_price_per_room          0.13
no_of_special_requests      0.11
arrival_month               0.04
no_of_weekend_nights        0.02
no_of_week_nights           0.01
market_segment_type_Offline 0.00
const                       0.00

# Bar plot showing the importances a decision tree -
importances = estimator.feature_importances_
indices = np.argsort(importances)
plt.figure(figsize=(12, 12))
plt.title("Feature Importances")
plt.barh(range(len(indices)), importances[indices], color="violet", align="center")
plt.yticks(range(len(indices)), [feature_names[i] for i in indices])
plt.xlabel("Relative Importance")
plt.show()

clf = DecisionTreeClassifier(random_state=1)
path = clf.cost_complexity_pruning_path(X_train1, y_train)
ccp_alphas, impurities = abs(path.ccp_alphas), path.impurities
pd.DataFrame(path)

fig, ax = plt.subplots(figsize=(15, 5))
ax.plot(ccp_alphas[:-1], impurities[:-1], marker="o", drawstyle="steps-post")
ax.set_xlabel("effective alpha")
ax.set_ylabel("total impurity of leaves")
ax.set_title("Total Impurity vs effective alpha for training set")
plt.show()

#train n decision trees using the effective alphas
clfs = []
for ccp_alpha in ccp_alphas:
    clf = DecisionTreeClassifier(random_state=1, ccp_alpha=ccp_alpha)
    clf.fit(X_train1, y_train)
    clfs.append(clf)
print(
    "Number of nodes in the last tree is: {} with ccp_alpha: {}".format(
        clfs[-1].tree_.node_count, ccp_alphas[-1]
    )
)

Number of nodes in the last tree is: 1 with ccp_alpha: 0.0714049767438803

clfs = clfs[:-1]
ccp_alphas = ccp_alphas[:-1]

node_counts = [clf.tree_.node_count for clf in clfs]
depth = [clf.tree_.max_depth for clf in clfs]
fig, ax = plt.subplots(2, 1, figsize=(10, 7))
ax[0].plot(ccp_alphas, node_counts, marker="o", drawstyle="steps-post")
ax[0].set_xlabel("alpha")
ax[0].set_ylabel("number of nodes")
ax[0].set_title("Number of nodes vs alpha")
ax[1].plot(ccp_alphas, depth, marker="o", drawstyle="steps-post")
ax[1].set_xlabel("alpha")
ax[1].set_ylabel("depth of tree")
ax[1].set_title("Depth vs alpha")
fig.tight_layout()

f1_train = []
for clf in clfs:
    pred_train = clf.predict(X_train1)
    values_train = f1_score(y_train, pred_train)
    f1_train.append(values_train)

f1_test = []
for clf in clfs:
    pred_test = clf.predict(X_test1)
    values_test = f1_score(y_test, pred_test)
    f1_test.append(values_test)

fig, ax = plt.subplots(figsize=(15, 5))
ax.set_xlabel("alpha")
ax.set_ylabel("F1 Score")
ax.set_title("F1 Score vs alpha for training and testing sets")
ax.plot(ccp_alphas, f1_train, marker="o", label="train", drawstyle="steps-post")
ax.plot(ccp_alphas, f1_test, marker="o", label="test", drawstyle="steps-post")
ax.legend()
plt.show()

index_best_model = np.argmax(f1_test)
best_model = clfs[index_best_model]
print(best_model)

DecisionTreeClassifier(ccp_alpha=6.401759663168952e-05, random_state=1)

df_perf=model_performance(best_model,X_train1,y_train,'dTree_Model 1_Train_P-R_CostC',df_perf, threshold=intersection_threshold)
df_perf=model_performance(best_model,X_test1,y_test,'dTree_Model 1_Test_P-R_CostC',df_perf, threshold=intersection_threshold)
df_perf

plot_cm_train_test(best_model, X_train1, y_train, X_test1, y_test, train_model_desc="dTree Model 1_Train_th:0.42_CostC", test_model_desc="dTree Model 1_Test_th:0.42_CostC", threshold=intersection_threshold)

# decision tree plot
plt.figure(figsize=(20,30))
tree.plot_tree(best_model,feature_names=feature_names,filled=True,fontsize=9,node_ids=True,class_names=True)
plt.show()

# Text report showing the rules of a decision tree -
print(tree.export_text(best_model, feature_names=feature_names, show_weights=True))

|--- lead_time <= 151.50
|   |--- no_of_special_requests <= 0.50
|   |   |--- market_segment_type_Online <= 0.50
|   |   |   |--- lead_time <= 90.50
|   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |--- market_segment_type_Offline <= 0.50
|   |   |   |   |   |   |--- lead_time <= 16.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 87.00
|   |   |   |   |   |   |   |   |--- weights: [261.00, 15.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  87.00
|   |   |   |   |   |   |   |   |--- lead_time <= 8.50
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 4.00
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 162.53
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [112.00, 10.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  162.53
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  4.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |--- lead_time >  8.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 11.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [11.00, 9.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  11.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [17.00, 3.00] class: 0
|   |   |   |   |   |   |--- lead_time >  16.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 135.00
|   |   |   |   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 46.00
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 36.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  36.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 4.00] class: 1
|   |   |   |   |   |   |   |   |   |--- lead_time >  46.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [24.00, 1.00] class: 0
|   |   |   |   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 17.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  17.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [72.00, 11.00] class: 0
|   |   |   |   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [34.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  135.00
|   |   |   |   |   |   |   |   |--- weights: [0.00, 6.00] class: 1
|   |   |   |   |   |--- market_segment_type_Offline >  0.50
|   |   |   |   |   |   |--- weights: [1626.00, 0.00] class: 0
|   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |--- lead_time <= 65.50
|   |   |   |   |   |   |--- arrival_month <= 9.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 62.40
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 59.75
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 8.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 39.67
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  39.67
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [41.00, 1.00] class: 0
|   |   |   |   |   |   |   |   |   |--- arrival_month >  8.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 12.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [6.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  12.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  59.75
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 39.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 37.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  39.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [10.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  62.40
|   |   |   |   |   |   |   |   |--- arrival_month <= 2.50
|   |   |   |   |   |   |   |   |   |--- weights: [94.00, 2.00] class: 0
|   |   |   |   |   |   |   |   |--- arrival_month >  2.50
|   |   |   |   |   |   |   |   |   |--- market_segment_type_Offline <= 0.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |--- market_segment_type_Offline >  0.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 59.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 13
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  59.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |--- arrival_month >  9.50
|   |   |   |   |   |   |   |--- weights: [476.00, 18.00] class: 0
|   |   |   |   |   |--- lead_time >  65.50
|   |   |   |   |   |   |--- avg_price_per_room <= 99.98
|   |   |   |   |   |   |   |--- lead_time <= 76.50
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 66.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [6.00, 6.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  66.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 75.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [42.00, 2.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  75.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 3.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 3.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 10.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  3.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [4.00, 1.00] class: 0
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  3.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 72.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  72.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [7.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- lead_time >  76.50
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [25.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |--- weights: [39.00, 0.00] class: 0
|   |   |   |   |   |   |--- avg_price_per_room >  99.98
|   |   |   |   |   |   |   |--- lead_time <= 85.00
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 128.00
|   |   |   |   |   |   |   |   |   |--- lead_time <= 68.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  68.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 117.80
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  117.80
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 49.00] class: 1
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  128.00
|   |   |   |   |   |   |   |   |   |--- weights: [6.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- lead_time >  85.00
|   |   |   |   |   |   |   |   |--- weights: [17.00, 0.00] class: 0
|   |   |   |--- lead_time >  90.50
|   |   |   |   |--- lead_time <= 117.50
|   |   |   |   |   |--- avg_price_per_room <= 93.58
|   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 75.07
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 58.75
|   |   |   |   |   |   |   |   |   |--- weights: [14.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  58.75
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 4.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 116.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 69.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  116.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- arrival_month >  4.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 9.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  9.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |--- avg_price_per_room >  75.07
|   |   |   |   |   |   |   |   |--- arrival_month <= 3.00
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 88.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [63.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  88.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |--- arrival_month >  3.00
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 4.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 80.38
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 14.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  80.38
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- arrival_month >  4.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 96.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  96.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |--- weights: [78.00, 3.00] class: 0
|   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 5.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [22.00, 1.00] class: 0
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  5.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 6.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 4.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 4.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  4.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- arrival_month >  6.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 79.88
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  79.88
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [6.00, 0.00] class: 0
|   |   |   |   |   |--- avg_price_per_room >  93.58
|   |   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |   |--- no_of_week_nights <= 3.50
|   |   |   |   |   |   |   |   |--- arrival_month <= 2.50
|   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- arrival_month >  2.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 134.45
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 97.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  97.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  134.45
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- no_of_week_nights >  3.50
|   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 108.50
|   |   |   |   |   |   |   |   |--- arrival_month <= 9.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 97.33
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 98.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [8.00, 5.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  98.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  97.33
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 7.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [17.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  7.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |--- arrival_month >  9.50
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 44.00] class: 1
|   |   |   |   |   |   |   |--- avg_price_per_room >  108.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 109.50
|   |   |   |   |   |   |   |   |   |--- weights: [42.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  109.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 138.25
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  138.25
|   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |--- lead_time >  117.50
|   |   |   |   |   |--- no_of_week_nights <= 0.50
|   |   |   |   |   |   |--- avg_price_per_room <= 92.50
|   |   |   |   |   |   |   |--- weights: [6.00, 2.00] class: 0
|   |   |   |   |   |   |--- avg_price_per_room >  92.50
|   |   |   |   |   |   |   |--- weights: [1.00, 18.00] class: 1
|   |   |   |   |   |--- no_of_week_nights >  0.50
|   |   |   |   |   |   |--- avg_price_per_room <= 84.58
|   |   |   |   |   |   |   |--- weights: [202.00, 10.00] class: 0
|   |   |   |   |   |   |--- avg_price_per_room >  84.58
|   |   |   |   |   |   |   |--- avg_price_per_room <= 96.28
|   |   |   |   |   |   |   |   |--- lead_time <= 121.50
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 16.00] class: 1
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- lead_time >  121.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 94.25
|   |   |   |   |   |   |   |   |   |   |--- weights: [60.00, 7.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  94.25
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 141.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [18.00, 24.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  141.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |--- avg_price_per_room >  96.28
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 122.00
|   |   |   |   |   |   |   |   |   |--- weights: [107.00, 3.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  122.00
|   |   |   |   |   |   |   |   |   |--- lead_time <= 137.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [4.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  137.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 9.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 4.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  9.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |--- market_segment_type_Online >  0.50
|   |   |   |--- lead_time <= 14.50
|   |   |   |   |--- lead_time <= 3.50
|   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 78.75
|   |   |   |   |   |   |   |   |--- weights: [44.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  78.75
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 3.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 134.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 79.30
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  79.30
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [122.00, 17.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  134.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 135.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  135.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  3.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 4.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |   |--- arrival_month >  4.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 64.92
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 57.00
|   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  57.00
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 12.00] class: 1
|   |   |   |   |   |   |   |--- avg_price_per_room >  64.92
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 134.22
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 4.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [7.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  4.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  134.22
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |--- avg_price_per_room <= 169.67
|   |   |   |   |   |   |   |--- arrival_month <= 8.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 137.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 76.35
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [12.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  76.35
|   |   |   |   |   |   |   |   |   |   |--- weights: [121.00, 6.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  137.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 140.00
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 7.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  7.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [6.00, 2.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  140.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [23.00, 3.00] class: 0
|   |   |   |   |   |   |   |--- arrival_month >  8.50
|   |   |   |   |   |   |   |   |--- weights: [162.00, 5.00] class: 0
|   |   |   |   |   |   |--- avg_price_per_room >  169.67
|   |   |   |   |   |   |   |--- weights: [12.00, 4.00] class: 0
|   |   |   |   |--- lead_time >  3.50
|   |   |   |   |   |--- avg_price_per_room <= 99.62
|   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 76.19
|   |   |   |   |   |   |   |   |--- weights: [71.00, 2.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  76.19
|   |   |   |   |   |   |   |   |--- arrival_month <= 1.50
|   |   |   |   |   |   |   |   |   |--- weights: [15.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- arrival_month >  1.50
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 8.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [48.00, 5.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  8.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 85.16
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  85.16
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [29.00, 12.00] class: 0
|   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |--- weights: [96.00, 0.00] class: 0
|   |   |   |   |   |--- avg_price_per_room >  99.62
|   |   |   |   |   |   |--- arrival_month <= 8.50
|   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |--- arrival_month <= 1.50
|   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- arrival_month >  1.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 13.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 172.33
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 13
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  172.33
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |--- lead_time >  13.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 113.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  113.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 7.00] class: 1
|   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |--- weights: [11.00, 42.00] class: 1
|   |   |   |   |   |   |--- arrival_month >  8.50
|   |   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |   |--- lead_time <= 9.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 113.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [16.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  113.00
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |--- lead_time >  9.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 10.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 10.00] class: 1
|   |   |   |   |   |   |   |   |   |--- lead_time >  10.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 146.10
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  146.10
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |   |--- weights: [29.00, 0.00] class: 0
|   |   |   |--- lead_time >  14.50
|   |   |   |   |--- avg_price_per_room <= 93.04
|   |   |   |   |   |--- avg_price_per_room <= 59.43
|   |   |   |   |   |   |--- avg_price_per_room <= 29.29
|   |   |   |   |   |   |   |--- weights: [28.00, 0.00] class: 0
|   |   |   |   |   |   |--- avg_price_per_room >  29.29
|   |   |   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 54.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |--- lead_time >  54.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [4.00, 1.00] class: 0
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |--- weights: [29.00, 4.00] class: 0
|   |   |   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 4.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 8.00] class: 1
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  4.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |   |   |--- weights: [10.00, 1.00] class: 0
|   |   |   |   |   |--- avg_price_per_room >  59.43
|   |   |   |   |   |   |--- lead_time <= 28.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 76.88
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 74.90
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 70.97
|   |   |   |   |   |   |   |   |   |   |--- weights: [25.00, 3.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  70.97
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 72.85
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  72.85
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  74.90
|   |   |   |   |   |   |   |   |   |--- weights: [16.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  76.88
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 80.90
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 6.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 12.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  6.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  80.90
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 5.00
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [8.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |   |   |--- arrival_month >  5.00
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 15.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  15.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |--- lead_time >  28.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 72.85
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 68.13
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 67.49
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  67.49
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [8.00, 1.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  68.13
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 69.58
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 59.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  59.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [15.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  69.58
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 71.34
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  71.34
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |--- avg_price_per_room >  72.85
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 73.17
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 13.00] class: 1
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  73.17
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 85.20
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  85.20
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 34.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  34.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 15
|   |   |   |   |--- avg_price_per_room >  93.04
|   |   |   |   |   |--- lead_time <= 48.50
|   |   |   |   |   |   |--- arrival_month <= 7.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 135.95
|   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 47.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 45.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  45.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 10.00] class: 1
|   |   |   |   |   |   |   |   |   |--- lead_time >  47.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- arrival_month >  1.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 93.70
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  93.70
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 11
|   |   |   |   |   |   |   |--- avg_price_per_room >  135.95
|   |   |   |   |   |   |   |   |--- lead_time <= 45.50
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 27.00] class: 1
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 44.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  44.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- lead_time >  45.50
|   |   |   |   |   |   |   |   |   |--- weights: [3.00, 1.00] class: 0
|   |   |   |   |   |   |--- arrival_month >  7.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 124.90
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 27.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [10.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  27.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 10.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 8.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  8.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |--- arrival_month >  10.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 24.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  24.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |--- avg_price_per_room >  124.90
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 143.42
|   |   |   |   |   |   |   |   |   |--- lead_time <= 38.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [10.00, 44.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  38.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 126.58
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  126.58
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [10.00, 2.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  143.42
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 144.76
|   |   |   |   |   |   |   |   |   |   |--- weights: [6.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  144.76
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 152.79
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  152.79
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 11
|   |   |   |   |   |--- lead_time >  48.50
|   |   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 108.85
|   |   |   |   |   |   |   |   |--- lead_time <= 131.50
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 105.90
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  105.90
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |--- lead_time >  131.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 96.06
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 5.00] class: 1
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  96.06
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [14.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  108.85
|   |   |   |   |   |   |   |   |--- lead_time <= 141.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 110.09
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 14.00] class: 1
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  110.09
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |--- lead_time >  141.50
|   |   |   |   |   |   |   |   |   |--- weights: [5.00, 1.00] class: 0
|   |   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |   |--- arrival_month <= 10.50
|   |   |   |   |   |   |   |   |--- lead_time <= 135.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 102.75
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 119.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [4.00, 90.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  119.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  102.75
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 8.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 12
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  8.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |   |--- lead_time >  135.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 148.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 7.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  7.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |   |--- lead_time >  148.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 19.00] class: 1
|   |   |   |   |   |   |   |--- arrival_month >  10.50
|   |   |   |   |   |   |   |   |--- lead_time <= 54.00
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 9.00] class: 1
|   |   |   |   |   |   |   |   |--- lead_time >  54.00
|   |   |   |   |   |   |   |   |   |--- lead_time <= 108.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 106.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 9
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  106.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  108.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 9.00] class: 1
|   |--- no_of_special_requests >  0.50
|   |   |--- lead_time <= 72.50
|   |   |   |--- no_of_special_requests <= 1.50
|   |   |   |   |--- avg_price_per_room <= 123.25
|   |   |   |   |   |--- market_segment_type_Online <= 0.50
|   |   |   |   |   |   |--- weights: [565.00, 1.00] class: 0
|   |   |   |   |   |--- market_segment_type_Online >  0.50
|   |   |   |   |   |   |--- lead_time <= 16.50
|   |   |   |   |   |   |   |--- lead_time <= 4.50
|   |   |   |   |   |   |   |   |--- weights: [349.00, 10.00] class: 0
|   |   |   |   |   |   |   |--- lead_time >  4.50
|   |   |   |   |   |   |   |   |--- arrival_month <= 8.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [48.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- arrival_month >  1.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 7.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  7.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |--- arrival_month >  8.50
|   |   |   |   |   |   |   |   |   |--- weights: [209.00, 7.00] class: 0
|   |   |   |   |   |   |--- lead_time >  16.50
|   |   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 67.33
|   |   |   |   |   |   |   |   |   |--- weights: [90.00, 2.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  67.33
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 68.03
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 3.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  3.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 6.00] class: 1
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  68.03
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [50.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 17
|   |   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |   |--- weights: [160.00, 0.00] class: 0
|   |   |   |   |--- avg_price_per_room >  123.25
|   |   |   |   |   |--- lead_time <= 4.50
|   |   |   |   |   |   |--- arrival_month <= 9.50
|   |   |   |   |   |   |   |--- weights: [196.00, 3.00] class: 0
|   |   |   |   |   |   |--- arrival_month >  9.50
|   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 0.50
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  0.50
|   |   |   |   |   |   |   |   |   |--- weights: [29.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 130.67
|   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  130.67
|   |   |   |   |   |   |   |   |   |--- weights: [1.00, 4.00] class: 1
|   |   |   |   |   |--- lead_time >  4.50
|   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |--- arrival_month <= 8.50
|   |   |   |   |   |   |   |   |--- market_segment_type_Offline <= 0.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 35.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 6.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [156.00, 20.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  6.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |   |   |--- lead_time >  35.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 4.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  4.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |   |--- market_segment_type_Offline >  0.50
|   |   |   |   |   |   |   |   |   |--- weights: [19.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- arrival_month >  8.50
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 10.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 123.99
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  123.99
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |   |--- arrival_month >  10.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 21.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 29.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |--- lead_time >  29.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 60.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 8
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  60.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |--- weights: [43.00, 0.00] class: 0
|   |   |   |--- no_of_special_requests >  1.50
|   |   |   |   |--- no_of_week_nights <= 3.50
|   |   |   |   |   |--- weights: [1422.00, 0.00] class: 0
|   |   |   |   |--- no_of_week_nights >  3.50
|   |   |   |   |   |--- lead_time <= 62.50
|   |   |   |   |   |   |--- arrival_month <= 4.50
|   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |--- lead_time <= 21.00
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [7.00, 1.00] class: 0
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |--- lead_time >  21.00
|   |   |   |   |   |   |   |   |   |--- weights: [9.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |--- lead_time <= 48.00
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |--- lead_time >  48.00
|   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |--- arrival_month >  4.50
|   |   |   |   |   |   |   |--- lead_time <= 6.50
|   |   |   |   |   |   |   |   |--- weights: [29.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- lead_time >  6.50
|   |   |   |   |   |   |   |   |--- arrival_month <= 10.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 140.17
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 139.35
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  139.35
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  140.17
|   |   |   |   |   |   |   |   |   |   |--- weights: [21.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- arrival_month >  10.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 79.05
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 16.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  16.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [9.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  79.05
|   |   |   |   |   |   |   |   |   |   |--- weights: [37.00, 0.00] class: 0
|   |   |   |   |   |--- lead_time >  62.50
|   |   |   |   |   |   |--- lead_time <= 69.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 92.61
|   |   |   |   |   |   |   |   |--- weights: [1.00, 4.00] class: 1
|   |   |   |   |   |   |   |--- avg_price_per_room >  92.61
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 139.82
|   |   |   |   |   |   |   |   |   |--- weights: [4.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  139.82
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |--- lead_time >  69.50
|   |   |   |   |   |   |   |--- weights: [6.00, 0.00] class: 0
|   |   |--- lead_time >  72.50
|   |   |   |--- arrival_month <= 8.50
|   |   |   |   |--- lead_time <= 150.50
|   |   |   |   |   |--- market_segment_type_Online <= 0.50
|   |   |   |   |   |   |--- weights: [186.00, 9.00] class: 0
|   |   |   |   |   |--- market_segment_type_Online >  0.50
|   |   |   |   |   |   |--- no_of_special_requests <= 1.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 76.54
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 76.40
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 7.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 67.92
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [27.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  67.92
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |   |--- arrival_month >  7.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  76.40
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 7.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 17.00] class: 1
|   |   |   |   |   |   |   |   |   |--- arrival_month >  7.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [12.00, 7.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  76.54
|   |   |   |   |   |   |   |   |--- lead_time <= 142.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 138.20
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 10
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  138.20
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 102.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 10
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  102.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 6
|   |   |   |   |   |   |   |   |--- lead_time >  142.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 112.11
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 4.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  4.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [24.00, 4.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  112.11
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |--- no_of_special_requests >  1.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 82.52
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 107.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  107.00
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 7.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 4.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  7.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 1.00] class: 0
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 81.60
|   |   |   |   |   |   |   |   |   |   |--- weights: [18.00, 1.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  81.60
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |--- avg_price_per_room >  82.52
|   |   |   |   |   |   |   |   |--- arrival_month <= 3.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 89.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  89.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |--- arrival_month >  3.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 142.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [219.00, 9.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  142.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 145.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  145.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [13.00, 0.00] class: 0
|   |   |   |   |--- lead_time >  150.50
|   |   |   |   |   |--- avg_price_per_room <= 79.84
|   |   |   |   |   |   |--- weights: [5.00, 0.00] class: 0
|   |   |   |   |   |--- avg_price_per_room >  79.84
|   |   |   |   |   |   |--- weights: [0.00, 9.00] class: 1
|   |   |   |--- arrival_month >  8.50
|   |   |   |   |--- lead_time <= 100.50
|   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |--- market_segment_type_Offline <= 0.50
|   |   |   |   |   |   |   |--- no_of_special_requests <= 1.50
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 78.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 99.95
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [5.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  99.95
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 4.00] class: 1
|   |   |   |   |   |   |   |   |   |--- lead_time >  78.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [6.00, 18.00] class: 1
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 82.50
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |--- lead_time >  82.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 10.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  10.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |--- no_of_special_requests >  1.50
|   |   |   |   |   |   |   |   |--- lead_time <= 90.50
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 3.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [60.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  3.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 82.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  82.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [7.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- lead_time >  90.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 90.60
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 70.52
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  70.52
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 13.00] class: 1
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  90.60
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [13.00, 0.00] class: 0
|   |   |   |   |   |   |--- market_segment_type_Offline >  0.50
|   |   |   |   |   |   |   |--- weights: [38.00, 0.00] class: 0
|   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |--- weights: [101.00, 2.00] class: 0
|   |   |   |   |--- lead_time >  100.50
|   |   |   |   |   |--- lead_time <= 104.50
|   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |--- no_of_special_requests <= 1.50
|   |   |   |   |   |   |   |   |--- lead_time <= 103.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 11.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [4.00, 3.00] class: 0
|   |   |   |   |   |   |   |   |   |--- arrival_month >  11.00
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 8.00] class: 1
|   |   |   |   |   |   |   |   |--- lead_time >  103.50
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 11.00] class: 1
|   |   |   |   |   |   |   |--- no_of_special_requests >  1.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 85.73
|   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  85.73
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 4.00] class: 1
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 1.00] class: 0
|   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |--- lead_time <= 102.50
|   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |--- lead_time >  102.50
|   |   |   |   |   |   |   |   |--- weights: [11.00, 0.00] class: 0
|   |   |   |   |   |--- lead_time >  104.50
|   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 159.75
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 139.69
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 71.12
|   |   |   |   |   |   |   |   |   |   |--- weights: [9.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  71.12
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 9.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 4
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  9.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 9
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  139.69
|   |   |   |   |   |   |   |   |   |--- no_of_special_requests <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 15.00] class: 1
|   |   |   |   |   |   |   |   |   |--- no_of_special_requests >  1.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 114.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  114.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [3.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  159.75
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 3.50
|   |   |   |   |   |   |   |   |   |--- weights: [16.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  3.50
|   |   |   |   |   |   |   |   |   |--- weights: [1.00, 2.00] class: 1
|   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |--- lead_time <= 150.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 79.97
|   |   |   |   |   |   |   |   |   |--- weights: [10.00, 7.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  79.97
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 106.42
|   |   |   |   |   |   |   |   |   |   |--- weights: [30.00, 2.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  106.42
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 114.03
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  114.03
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |--- lead_time >  150.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 98.17
|   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  98.17
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 4.00] class: 1
|--- lead_time >  151.50
|   |--- avg_price_per_room <= 100.04
|   |   |--- no_of_special_requests <= 0.50
|   |   |   |--- market_segment_type_Online <= 0.50
|   |   |   |   |--- lead_time <= 232.50
|   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |--- avg_price_per_room <= 82.88
|   |   |   |   |   |   |   |--- lead_time <= 195.50
|   |   |   |   |   |   |   |   |--- weights: [30.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- lead_time >  195.50
|   |   |   |   |   |   |   |   |--- weights: [6.00, 4.00] class: 0
|   |   |   |   |   |   |--- avg_price_per_room >  82.88
|   |   |   |   |   |   |   |--- weights: [0.00, 60.00] class: 1
|   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |--- lead_time <= 181.50
|   |   |   |   |   |   |   |--- arrival_month <= 6.50
|   |   |   |   |   |   |   |   |--- lead_time <= 157.50
|   |   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- lead_time >  157.50
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 31.00] class: 1
|   |   |   |   |   |   |   |--- arrival_month >  6.50
|   |   |   |   |   |   |   |   |--- lead_time <= 165.00
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 86.02
|   |   |   |   |   |   |   |   |   |   |--- weights: [45.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  86.02
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 156.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  156.00
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [70.00, 7.00] class: 0
|   |   |   |   |   |   |   |   |--- lead_time >  165.00
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 71.12
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 27.00] class: 1
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  71.12
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 167.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  167.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |--- lead_time >  181.50
|   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 78.75
|   |   |   |   |   |   |   |   |   |--- weights: [84.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  78.75
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 90.47
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [6.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  90.47
|   |   |   |   |   |   |   |   |   |   |--- weights: [73.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |--- lead_time <= 191.50
|   |   |   |   |   |   |   |   |   |--- weights: [19.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- lead_time >  191.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 194.00
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 75.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 9.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  75.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  194.00
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 83.38
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [25.00, 2.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  83.38
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |--- lead_time >  232.50
|   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |--- arrival_month <= 10.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 94.00
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 75.50
|   |   |   |   |   |   |   |   |   |--- arrival_month <= 7.00
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 283.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  283.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |--- arrival_month >  7.00
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 73.62
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [26.00, 1.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  73.62
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 13.00] class: 1
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  75.50
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 5.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  5.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |   |--- arrival_month <= 9.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 5
|   |   |   |   |   |   |   |   |   |   |--- arrival_month >  9.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |--- avg_price_per_room >  94.00
|   |   |   |   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 95.33
|   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 5.00] class: 1
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  95.33
|   |   |   |   |   |   |   |   |   |   |--- weights: [10.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 84.00] class: 1
|   |   |   |   |   |   |--- arrival_month >  10.50
|   |   |   |   |   |   |   |--- weights: [1.00, 119.00] class: 1
|   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |--- weights: [46.00, 0.00] class: 0
|   |   |   |--- market_segment_type_Online >  0.50
|   |   |   |   |--- avg_price_per_room <= 37.69
|   |   |   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |   |   |--- weights: [0.00, 4.00] class: 1
|   |   |   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |   |   |--- weights: [9.00, 2.00] class: 0
|   |   |   |   |--- avg_price_per_room >  37.69
|   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |--- weights: [0.00, 512.00] class: 1
|   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |--- weights: [4.00, 4.00] class: 0
|   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |--- weights: [2.00, 55.00] class: 1
|   |   |--- no_of_special_requests >  0.50
|   |   |   |--- no_of_weekend_nights <= 0.50
|   |   |   |   |--- lead_time <= 180.50
|   |   |   |   |   |--- lead_time <= 158.50
|   |   |   |   |   |   |--- arrival_month <= 9.00
|   |   |   |   |   |   |   |--- avg_price_per_room <= 98.81
|   |   |   |   |   |   |   |   |--- weights: [7.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  98.81
|   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |--- arrival_month >  9.00
|   |   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |--- lead_time >  158.50
|   |   |   |   |   |   |--- weights: [54.00, 3.00] class: 0
|   |   |   |   |--- lead_time >  180.50
|   |   |   |   |   |--- market_segment_type_Online <= 0.50
|   |   |   |   |   |   |--- avg_price_per_room <= 96.45
|   |   |   |   |   |   |   |--- weights: [14.00, 1.00] class: 0
|   |   |   |   |   |   |--- avg_price_per_room >  96.45
|   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |--- market_segment_type_Online >  0.50
|   |   |   |   |   |   |--- arrival_month <= 11.50
|   |   |   |   |   |   |   |--- avg_price_per_room <= 45.44
|   |   |   |   |   |   |   |   |--- weights: [1.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- avg_price_per_room >  45.44
|   |   |   |   |   |   |   |   |--- weights: [0.00, 114.00] class: 1
|   |   |   |   |   |   |--- arrival_month >  11.50
|   |   |   |   |   |   |   |--- lead_time <= 288.75
|   |   |   |   |   |   |   |   |--- lead_time <= 226.50
|   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |--- lead_time >  226.50
|   |   |   |   |   |   |   |   |   |--- lead_time <= 276.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [6.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |   |--- lead_time >  276.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 281.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  281.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [2.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- lead_time >  288.75
|   |   |   |   |   |   |   |   |--- weights: [0.00, 5.00] class: 1
|   |   |   |--- no_of_weekend_nights >  0.50
|   |   |   |   |--- arrival_month <= 10.50
|   |   |   |   |   |--- market_segment_type_Online <= 0.50
|   |   |   |   |   |   |--- weights: [148.00, 1.00] class: 0
|   |   |   |   |   |--- market_segment_type_Online >  0.50
|   |   |   |   |   |   |--- avg_price_per_room <= 76.54
|   |   |   |   |   |   |   |--- weights: [50.00, 0.00] class: 0
|   |   |   |   |   |   |--- avg_price_per_room >  76.54
|   |   |   |   |   |   |   |--- lead_time <= 178.50
|   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |--- weights: [36.00, 0.00] class: 0
|   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 77.24
|   |   |   |   |   |   |   |   |   |   |--- weights: [1.00, 2.00] class: 1
|   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  77.24
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 160.50
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [15.00, 1.00] class: 0
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  160.50
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 3
|   |   |   |   |   |   |   |--- lead_time >  178.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 98.17
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 1.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 94.72
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  94.72
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [19.00, 3.00] class: 0
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  1.50
|   |   |   |   |   |   |   |   |   |   |--- lead_time <= 233.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |   |--- lead_time >  233.00
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 7
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  98.17
|   |   |   |   |   |   |   |   |   |--- lead_time <= 192.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [4.00, 7.00] class: 1
|   |   |   |   |   |   |   |   |   |--- lead_time >  192.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [7.00, 1.00] class: 0
|   |   |   |   |--- arrival_month >  10.50
|   |   |   |   |   |--- market_segment_type_Offline <= 0.50
|   |   |   |   |   |   |--- no_of_week_nights <= 0.50
|   |   |   |   |   |   |   |--- weights: [7.00, 0.00] class: 0
|   |   |   |   |   |   |--- no_of_week_nights >  0.50
|   |   |   |   |   |   |   |--- no_of_week_nights <= 4.50
|   |   |   |   |   |   |   |   |--- avg_price_per_room <= 83.20
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights <= 2.50
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room <= 71.40
|   |   |   |   |   |   |   |   |   |   |   |--- weights: [0.00, 3.00] class: 1
|   |   |   |   |   |   |   |   |   |   |--- avg_price_per_room >  71.40
|   |   |   |   |   |   |   |   |   |   |   |--- truncated branch of depth 2
|   |   |   |   |   |   |   |   |   |--- no_of_week_nights >  2.50
|   |   |   |   |   |   |   |   |   |   |--- weights: [11.00, 3.00] class: 0
|   |   |   |   |   |   |   |   |--- avg_price_per_room >  83.20
|   |   |   |   |   |   |   |   |   |--- weights: [3.00, 7.00] class: 1
|   |   |   |   |   |   |   |--- no_of_week_nights >  4.50
|   |   |   |   |   |   |   |   |--- weights: [2.00, 7.00] class: 1
|   |   |   |   |   |--- market_segment_type_Offline >  0.50
|   |   |   |   |   |   |--- weights: [8.00, 0.00] class: 0
|   |--- avg_price_per_room >  100.04
|   |   |--- arrival_month <= 11.50
|   |   |   |--- weights: [0.00, 1803.00] class: 1
|   |   |--- arrival_month >  11.50
|   |   |   |--- no_of_special_requests <= 0.50
|   |   |   |   |--- weights: [52.00, 0.00] class: 0
|   |   |   |--- no_of_special_requests >  0.50
|   |   |   |   |--- lead_time <= 287.25
|   |   |   |   |   |--- no_of_special_requests <= 1.50
|   |   |   |   |   |   |--- weights: [3.00, 6.00] class: 1
|   |   |   |   |   |--- no_of_special_requests >  1.50
|   |   |   |   |   |   |--- no_of_weekend_nights <= 1.50
|   |   |   |   |   |   |   |--- no_of_week_nights <= 4.50
|   |   |   |   |   |   |   |   |--- weights: [7.00, 0.00] class: 0
|   |   |   |   |   |   |   |--- no_of_week_nights >  4.50
|   |   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |   |   |--- no_of_weekend_nights >  1.50
|   |   |   |   |   |   |   |--- weights: [0.00, 1.00] class: 1
|   |   |   |   |--- lead_time >  287.25
|   |   |   |   |   |--- weights: [0.00, 4.00] class: 1

# importance of features in the tree building ( The importance of a feature is computed as the 
#(normalized) total reduction of the criterion brought by that feature. It is also known as the Gini importance )
print (pd.DataFrame(best_model.feature_importances_, columns = ["Imp"], index = X_train1.columns).sort_values(by = 'Imp', ascending = False))

                             Imp
lead_time                   0.40
avg_price_per_room          0.22
market_segment_type_Online  0.12
arrival_month               0.10
no_of_special_requests      0.07
no_of_week_nights           0.04
no_of_weekend_nights        0.04
market_segment_type_Offline 0.00
const                       0.00

# Bar plot showing the importances a decision tree -
importances = best_model.feature_importances_
indices = np.argsort(importances)
plt.figure(figsize=(12, 12))
plt.title("Feature Importances")
plt.barh(range(len(indices)), importances[indices], color="violet", align="center")
plt.yticks(range(len(indices)), [feature_names[i] for i in indices])
plt.xlabel("Relative Importance")
plt.show()

df_perf

# Function to count nodes
def count_nodes(tree):
    tree_structure = tree.tree_
    return tree_structure.node_count

# Print the number of nodes
print("Number of nodes in unpruned tree:", count_nodes(dTree1))
print("Number of nodes in pre-pruned tree:", count_nodes(estimator))
print("Number of nodes in post-pruned tree:", count_nodes(best_model))

Number of nodes in unpruned tree: 6283
Number of nodes in pre-pruned tree: 103
Number of nodes in post-pruned tree: 2163

# Bar plot showing the importances a decision tree -
importances = best_model.feature_importances_
indices = np.argsort(importances)
plt.figure(figsize=(5, 5))
plt.title("Feature Importances")
plt.barh(range(len(indices)), importances[indices], color="violet", align="center")
plt.yticks(range(len(indices)), [feature_names[i] for i in indices])
plt.xlabel("Relative Importance")
plt.show()

# Create a jointplot
sns.jointplot(data, x="lead_time", y="avg_price_per_room", hue='booking_status', kind="scatter")
# Show the plot
plt.show()

#convert to html
!jupyter nbconvert --to html Project_SLC_DSBA_INNHotels_FullCode.ipynb

[NbConvertApp] Converting notebook Project_SLC_DSBA_INNHotels_FullCode.ipynb to html
[NbConvertApp] WARNING | Alternative text is missing on 40 image(s).
[NbConvertApp] Writing 11217532 bytes to Project_SLC_DSBA_INNHotels_FullCode.html

	count	unique	top	freq	mean	std	min	25%	50%	75%	max
Booking_ID	36275	36275	INN00001	1	NaN	NaN	NaN	NaN	NaN	NaN	NaN
no_of_adults	36275.00	NaN	NaN	NaN	1.84	0.52	0.00	2.00	2.00	2.00	4.00
no_of_children	36275.00	NaN	NaN	NaN	0.11	0.40	0.00	0.00	0.00	0.00	10.00
no_of_weekend_nights	36275.00	NaN	NaN	NaN	0.81	0.87	0.00	0.00	1.00	2.00	7.00
no_of_week_nights	36275.00	NaN	NaN	NaN	2.20	1.41	0.00	1.00	2.00	3.00	17.00
type_of_meal_plan	36275	4	Meal Plan 1	27835	NaN	NaN	NaN	NaN	NaN	NaN	NaN
required_car_parking_space	36275.00	NaN	NaN	NaN	0.03	0.17	0.00	0.00	0.00	0.00	1.00
room_type_reserved	36275	7	Room_Type 1	28130	NaN	NaN	NaN	NaN	NaN	NaN	NaN
lead_time	36275.00	NaN	NaN	NaN	85.23	85.93	0.00	17.00	57.00	126.00	443.00
arrival_year	36275.00	NaN	NaN	NaN	2017.82	0.38	2017.00	2018.00	2018.00	2018.00	2018.00
arrival_month	36275.00	NaN	NaN	NaN	7.42	3.07	1.00	5.00	8.00	10.00	12.00
arrival_date	36275.00	NaN	NaN	NaN	15.60	8.74	1.00	8.00	16.00	23.00	31.00
market_segment_type	36275	5	Online	23214	NaN	NaN	NaN	NaN	NaN	NaN	NaN
repeated_guest	36275.00	NaN	NaN	NaN	0.03	0.16	0.00	0.00	0.00	0.00	1.00
no_of_previous_cancellations	36275.00	NaN	NaN	NaN	0.02	0.37	0.00	0.00	0.00	0.00	13.00
no_of_previous_bookings_not_canceled	36275.00	NaN	NaN	NaN	0.15	1.75	0.00	0.00	0.00	0.00	58.00
avg_price_per_room	36275.00	NaN	NaN	NaN	103.42	35.09	0.00	80.30	99.45	120.00	540.00
no_of_special_requests	36275.00	NaN	NaN	NaN	0.62	0.79	0.00	0.00	0.00	1.00	5.00
booking_status	36275	2	Not_Canceled	24390	NaN	NaN	NaN	NaN	NaN	NaN	NaN

INN Hotels Project¶

Project Description¶

Context¶

Objective¶

Data Description¶

Data Dictionary¶

Importing necessary libraries and data¶

Data Overview¶

Consolidated notes on Data Overview¶

Exploratory Data Analysis (EDA)¶

Univariate Analysis¶

Bivariate Analysis¶

Consolidated notes on Exploratory Data Analysis (EDA)¶

Data Preprocessing¶

Consolidated notes on Data Preprocessing¶

EDA (after manipulation)¶

Consolidated notes on EDA (after manipulation)¶

Checking Multicollinearity¶

Creating training and test sets¶

Detecting and Dealing with Multicollinearity¶

Consolidated notes on Checking Multicolinearity¶

Building a Logistic Regression model¶

Model performance evaluation¶

Model Performance Improvement_ROC Curve¶

Consolidated Notes on Model performance evaluation¶

Final Model Summary¶

Building a Decision Tree model¶

Consolidated Notes on Building a Decision Tree model¶

Do we need to prune the tree?¶

Using GridSearch for Hyperparameter tuning (Pre-pruning)¶

Cost Complexity Pruning (Post-pruning)¶

Consolidated Notes on tree pruning¶

Model Performance Comparison and Conclusions¶

Consolidated notes on Model Performance Comparison and Conclusions¶

Actionable Insights and Recommendations¶

Insights and Recommendations¶

	Booking_ID	no_of_adults	no_of_weekend_nights	no_of_week_nights	type_of_meal_plan	room_type_reserved	lead_time	arrival_year	arrival_month	arrival_date	market_segment_type	avg_price_per_room	no_of_special_requests	booking_status
36270	INN36271	3	2	6	Meal Plan 1	Room_Type 4	85	2018	8	3	Online	167.80	1	Not_Canceled
36271	INN36272	2	1	3	Meal Plan 1	Room_Type 1	228	2018	10	17	Online	90.95	2	Canceled
36272	INN36273	2	2	6	Meal Plan 1	Room_Type 1	148	2018	7	1	Online	98.39	2	Not_Canceled
36273	INN36274	2	0	3	Not Selected	Room_Type 1	63	2018	4	21	Online	94.50	0	Canceled
36274	INN36275	2	1	2	Meal Plan 1	Room_Type 1	207	2018	12	30	Offline	161.67	0	Not_Canceled

	no_of_adults	no_of_weekend_nights	no_of_week_nights	type_of_meal_plan	room_type_reserved	lead_time	arrival_year	arrival_month	arrival_date	market_segment_type	avg_price_per_room	no_of_special_requests	booking_status
0	2	1	2	Meal Plan 1	Room_Type 1	224	2017	10	2	Offline	65.00	0	Not_Canceled
1	2	2	3	Not Selected	Room_Type 1	5	2018	11	6	Online	106.68	1	Not_Canceled
2	1	2	1	Meal Plan 1	Room_Type 1	1	2018	2	28	Online	60.00	0	Canceled
3	2	0	2	Meal Plan 1	Room_Type 1	211	2018	5	20	Online	100.00	0	Canceled
4	2	1	1	Not Selected	Room_Type 1	48	2018	4	11	Online	94.50	0	Canceled

	variable1	variable2	correlation
137	repeated_guest	no_of_previous_bookings_not_canceled	0.54
151	no_of_previous_cancellations	no_of_previous_bookings_not_canceled	0.47
136	repeated_guest	no_of_previous_cancellations	0.39
26	no_of_children	avg_price_per_room	0.34
12	no_of_adults	avg_price_per_room	0.30
13	no_of_adults	no_of_special_requests	0.19
181	avg_price_per_room	no_of_special_requests	0.18
31	no_of_weekend_nights	no_of_week_nights	0.18
96	arrival_year	avg_price_per_room	0.18
47	no_of_week_nights	lead_time	0.15
76	lead_time	arrival_year	0.14
77	lead_time	arrival_month	0.14
27	no_of_children	no_of_special_requests	0.12
65	required_car_parking_space	repeated_guest	0.11
111	arrival_month	no_of_special_requests	0.11
3	no_of_adults	no_of_week_nights	0.11
2	no_of_adults	no_of_weekend_nights	0.10
5	no_of_adults	lead_time	0.10
69	required_car_parking_space	no_of_special_requests	0.09
6	no_of_adults	arrival_year	0.08
67	required_car_parking_space	no_of_previous_bookings_not_canceled	0.06
68	required_car_parking_space	avg_price_per_room	0.06
41	no_of_weekend_nights	no_of_special_requests	0.06
34	no_of_weekend_nights	arrival_year	0.06
110	arrival_month	avg_price_per_room	0.05
97	arrival_year	no_of_special_requests	0.05
33	no_of_weekend_nights	lead_time	0.05
55	no_of_week_nights	no_of_special_requests	0.05
20	no_of_children	arrival_year	0.05
49	no_of_week_nights	arrival_month	0.04
18	no_of_children	required_car_parking_space	0.03
48	no_of_week_nights	arrival_year	0.03
16	no_of_children	no_of_weekend_nights	0.03
167	no_of_previous_bookings_not_canceled	no_of_special_requests	0.03
36	no_of_weekend_nights	arrival_date	0.03
66	required_car_parking_space	no_of_previous_cancellations	0.03
95	arrival_year	no_of_previous_bookings_not_canceled	0.03
8	no_of_adults	arrival_date	0.03
22	no_of_children	arrival_date	0.03
17	no_of_children	no_of_week_nights	0.02
54	no_of_week_nights	avg_price_per_room	0.02
7	no_of_adults	arrival_month	0.02
92	arrival_year	arrival_date	0.02
125	arrival_date	no_of_special_requests	0.02
124	arrival_date	avg_price_per_room	0.02
62	required_car_parking_space	arrival_year	0.02
4	no_of_adults	required_car_parking_space	0.01
78	lead_time	arrival_date	0.01
94	arrival_year	no_of_previous_cancellations	0.00
107	arrival_month	repeated_guest	0.00
64	required_car_parking_space	arrival_date	-0.00
123	arrival_date	no_of_previous_bookings_not_canceled	-0.00
21	no_of_children	arrival_month	-0.00
153	no_of_previous_cancellations	no_of_special_requests	-0.00
40	no_of_weekend_nights	avg_price_per_room	-0.00
50	no_of_week_nights	arrival_date	-0.01
35	no_of_weekend_nights	arrival_month	-0.01
109	arrival_month	no_of_previous_bookings_not_canceled	-0.01
139	repeated_guest	no_of_special_requests	-0.01
122	arrival_date	no_of_previous_cancellations	-0.01
63	required_car_parking_space	arrival_month	-0.02
121	arrival_date	repeated_guest	-0.02
24	no_of_children	no_of_previous_cancellations	-0.02
93	arrival_year	repeated_guest	-0.02
1	no_of_adults	no_of_children	-0.02
38	no_of_weekend_nights	no_of_previous_cancellations	-0.02
25	no_of_children	no_of_previous_bookings_not_canceled	-0.02
39	no_of_weekend_nights	no_of_previous_bookings_not_canceled	-0.03
52	no_of_week_nights	no_of_previous_cancellations	-0.03
32	no_of_weekend_nights	required_car_parking_space	-0.03
23	no_of_children	repeated_guest	-0.04
108	arrival_month	no_of_previous_cancellations	-0.04
106	arrival_month	arrival_date	-0.04
80	lead_time	no_of_previous_cancellations	-0.05
19	no_of_children	lead_time	-0.05
10	no_of_adults	no_of_previous_cancellations	-0.05
46	no_of_week_nights	required_car_parking_space	-0.05
53	no_of_week_nights	no_of_previous_bookings_not_canceled	-0.05
82	lead_time	avg_price_per_room	-0.06
152	no_of_previous_cancellations	avg_price_per_room	-0.06
61	required_car_parking_space	lead_time	-0.07
37	no_of_weekend_nights	repeated_guest	-0.07
81	lead_time	no_of_previous_bookings_not_canceled	-0.08
51	no_of_week_nights	repeated_guest	-0.10
83	lead_time	no_of_special_requests	-0.10
166	no_of_previous_bookings_not_canceled	avg_price_per_room	-0.11
11	no_of_adults	no_of_previous_bookings_not_canceled	-0.12
79	lead_time	repeated_guest	-0.14
138	repeated_guest	avg_price_per_room	-0.17
9	no_of_adults	repeated_guest	-0.19
91	arrival_year	arrival_month	-0.34

	Group_Size	Not_Canceled	Canceled
0	0	0	0
1	1	5743	1809
2	2	15662	8280
3	3	2459	1392
4	4	514	398
5	5	10	5
6	6	0	0
7	7	0	0
8	8	0	0
9	9	0	0
10	10	1	0
11	11	0	1
12	12	1	0

	no_of_adults	no_of_children	no_of_weekend_nights	no_of_week_nights	type_of_meal_plan	required_car_parking_space	room_type_reserved	lead_time	arrival_year	arrival_month	arrival_date	repeated_guest	no_of_previous_cancellations	no_of_previous_bookings_not_canceled	avg_price_per_room	no_of_special_requests	booking_status	total_guest	total_nights	market_segment_type_Complementary	market_segment_type_Corporate	market_segment_type_Offline	market_segment_type_Online
0	2	0	1	2	1	0	1	224.00	2018	10	2	0	0	0	65.00	0	0	2	3	0	0	1	0
1	2	0	2	3	1	0	1	5.00	2018	11	6	0	0	0	106.68	1	0	2	5	0	0	0	1
2	2	0	2	1	1	0	1	1.00	2018	2	28	0	0	0	60.00	0	1	2	3	0	0	0	1
3	2	0	0	2	1	0	1	211.00	2018	5	20	0	0	0	100.00	0	1	2	2	0	0	0	1
4	2	0	1	1	1	0	1	48.00	2018	4	11	0	0	0	94.50	0	1	2	2	0	0	0	1
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
36270	2	0	2	6	1	0	1	85.00	2018	8	3	0	0	0	167.80	1	0	2	7	0	0	0	1
36271	2	0	1	3	1	0	1	228.00	2018	10	17	0	0	0	90.95	2	1	2	4	0	0	0	1
36272	2	0	2	6	1	0	1	148.00	2018	7	1	0	0	0	98.39	2	0	2	7	0	0	0	1
36273	2	0	0	3	1	0	1	63.00	2018	4	21	0	0	0	94.50	0	1	2	3	0	0	0	1
36274	2	0	1	2	1	0	1	207.00	2018	12	30	0	0	0	161.67	0	0	2	3	0	0	1	0

	count	mean	std	min	25%	50%	75%	max
no_of_weekend_nights	31648.00	0.79	0.82	0.00	0.00	1.00	2.00	3.00
no_of_week_nights	31648.00	2.16	1.23	0.00	1.00	2.00	3.00	6.00
lead_time	31648.00	85.24	80.48	0.00	19.00	60.00	128.00	291.50
arrival_month	31648.00	7.38	3.07	1.00	5.00	8.00	10.00	12.00
arrival_date	31648.00	15.57	8.76	1.00	8.00	16.00	23.00	31.00
avg_price_per_room	31648.00	101.07	28.54	23.38	80.75	98.10	119.00	176.38
no_of_special_requests	31648.00	0.55	0.70	0.00	0.00	0.00	1.00	2.00
booking_status	31648.00	0.34	0.47	0.00	0.00	0.00	1.00	1.00
total_nights	31648.00	2.94	1.48	0.00	2.00	3.00	4.00	7.00
market_segment_type_Complementary	31648.00	0.01	0.08	0.00	0.00	0.00	0.00	1.00
market_segment_type_Corporate	31648.00	0.04	0.20	0.00	0.00	0.00	0.00	1.00
market_segment_type_Offline	31648.00	0.32	0.46	0.00	0.00	0.00	1.00	1.00
market_segment_type_Online	31648.00	0.63	0.48	0.00	0.00	1.00	1.00	1.00

	Model	Accuracy	Recall	Precision	F1
0	logit_Model 0_Train	0.79	0.61	0.72	0.66
1	logit_Model 0_Test	0.79	0.60	0.72	0.66

	Model	Accuracy	Recall	Precision	F1
6	logit_Model 1_Train_P-R	0.79	0.68	0.68	0.68
7	logit_Model 1_Test_P-R	0.78	0.67	0.69	0.68

	const	no_of_weekend_nights	no_of_week_nights	lead_time	arrival_month	avg_price_per_room	no_of_special_requests	market_segment_type_Offline	market_segment_type_Online
Odds	0.03	1.10	0.95	1.02	0.95	1.02	0.23	0.42	2.76
Change_odd%	-92.66	10.02	-5.13	1.67	-5.41	1.93	-77.06	-81.84	19.18